Everyone wants to know the answer to "how can I find inner peace?" but first thing's first, what is Inner Peace?
In essence, it's simply the result or reward if you like of a quiet mind.
An inner quietness that allows you to see yourself and the world around you as it is, without frustration or stress.
Contentment is found in simply just 'being'.
Inner peace is there for the taking, in fact it's already there and available to everyone.
All that's required is the ability and courage to be able to find inner space among the constant thoughts that repeat themselves over and over again.
It's becoming more and more apparent that Meditation is one of, if not the most powerful and long lasting antidotes to stress and turmoil.
Inner peace is just one of the wonderful benefits daily meditation (if only for 12 minutes a day) has to offer. There are so many possibilities that open up to you when you begin to live a more meditative or mindful life. It not only produces a more peaceful state, it's full of excitement and wonder too.
The unrest in the world is unsettling to say the least, but the personal unrest that resides within so many of us is growing to epidemic proportions.
We live in an increasingly faster, more hectic world with financial debt, demanding jobs and a higher cost of living that seems to continue to grow.
This is exactly the reason why we must be finding inner peace ourselves, so that we can share this magic ingredient with our next generations.
This is the key to inner peace. It can not be bought or traded for goods. You must reach inside of yourself and discover the peace that is already there.
Finding it is the most important journey you will ever set out on.
True and lasting inner peace comes from finding the joy in wherever you are and whatever you're doing, with whomever you're with at the time.
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Let the iiconics shine for at least a month or two.
While I'm glad to see Naomi and Bayley working well together I hate seeing champions lose as if it doesn't matter.
naomi is the new sasha banks?
So i guess the rumors of sasha throwing a temper tantrum after mania are true hahaha sasha always sucked anyways!!!!!!!
I think "Hug the Glow" is a good name.
Roses are red violets are blue I smell a Heel shasha and so do you peeps lol.


Do you see every new undertaking as something you'll be working on indefinitely, or do you have a specific deadline and criteria for its completion?
I don't believe that either of these mindsets is right or wrong. But something I've been giving more thought to lately is something I call The Project Capsule.
But, before I get to that, let me explain how my thinking led me here.
Whenever I start something new, I often see it as something that must have some kind of continuity. I think it's easy to view a blog or a podcast as something that requires continual upkeep. It doesn't necessarily have a start or an end by design.
So, when it comes to online projects, you almost have to set your own boundaries. Blogging and podcasting could be viewed as ongoing marketing activities rather than as the project itself.
In music, this is almost definitely true, because, for example, if you're in the process of putting out a new single, the rest of the content on your website is just there to support the promotion of that new single.
In my line of work, I must say that writing and recording almost always seems like the work part of the equation rather than the marketing part. But when I really think about it, while a book could be a product, a blog post or a podcast episode probably isn't.
What I'm driving at here is that you should distinguish between the product and the marketing. This doesn't matter as much if you just want to blog for the sake of blogging, but it matters a lot if you see yourself as an entrepreneur.
The project capsule idea entered into my consciousness as I was having a conversation with Sean Harley a little while back. He talks about how setting rails for his projects helps him from getting into the trap of a never-ending undertaking. He describes how it takes the pressure off of the project, as it doesn't need to be seen as a perpetual endeavor. Moreover, when he finishes something, he can move on to the next idea.
Then, I also heard the guys on The Fizzle Show talking about how Seth Godin only does projects (his blog is a project with considerable continuity, so again that differentiation between the product and the marketing counts). However, he views his books and businesses as ideas with definite ends.
I am starting to think about how I can incorporate more of this thinking into my own endeavors. As I continue to evaluate what I want my product to be and how I want to market it, I think this will become a lot clearer. I want you to start thinking about how a capsule approach could benefit your work as well.
An album or an EP or a single are all great examples of project capsules. It's clear what the product is, and the marketing supports it when you know your central focus.
How do you approach projects? What has worked for you in the past? Why do you approach undertakings the way you do? Let us know in the comments section below!


I used the midi, converted it into sheet music and had to fix it massively to make a clean concise transcription.
I love Yasuharu Takanashi's work, especially the celtic Fariy Tail soundtrack.
Over 100 views so far for this one.
The first of a few naruto covers in this area of my playlist.
A nice village tune from this game, usually guitar based.
A little rough in places.
As a huge fan of Key, I will be covering many tunes from this series.
First are a couple of short tunes.
But in this case i'm willing to cover more types of music.
My first Guitar cover video, I created the backing track using multiple instruments on my arrangement keyboard.
I made a rough guitar tab in the video's description on youtube.
Has made over 400 views.
A slow tune from the Anime.
Wow you sure do keep busy! Nice playing, I like the atmosphere in that last track. Keep it up!


To see publications listed by theme, you may go here.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. PLOS Computational Biology, 14(4): e1006116,.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences.
[PDF] [Abstract] Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review.
[PDF] [Abstract] Ritz, H., Nassar, M.R., Frank, M.J. & Shenhav, A. (2018). A control theoretic model of adaptive learning in dynamic environments. Journal of Cognitive Neuroscience.
[PDF] [Abstract] Jahfari, S., Ridderinkhof, K.R., Collins, A.G.E., Knapen, T., Waldorp, L. & Frank, M.J. (2018). Cross-task contributions of frontobasal ganglia circuitry in response inhibition and conflict-induced slowing. Cerebral Cortex.
[PDF] [Abstract] Hernaus, D., Gold, J.M., Waltz, J.A. & Frank, M.J. (2018). Impaired expected value computations coupled with overreliance on stimulus-response learning in schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Waltz, J.A., Xu, Z., Brown, E.C., Ruiz, R.R., Frank, M.J. & Gold, J.M. (2018). Motivational deficits in schizophrenia are associated with reduced differentiation between gain and loss-avoidance feedback in the striatum. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3, 239-247.
[PDF] [Abstract] Westbrook, J.A. & Frank, M.J. (2018). Dopamine and proximity in motivation and cognitive control. Current Opinion in Behavioral Sciences, 22, 28-34.
[PDF] [Abstract] Maia, T.V., Huys, Q.J.M. & Frank, M.J. (2017). Theory-based computational psychiatry. Biological Psychiatry, 82, 382-384.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Collins, A.G.E., Ciullo, B., Frank, M.J. & Badre, D. (2017). Working memory load strengthens reward prediction errors. Journal of Neuroscience, 37, 4332-4342.
[PDF] [Abstract] Swart, J.C., Frobose, M.I., Cook, J.L., Geurts, D.E.M., Frank, M.J., Cools, R. & den Ouden, H.E.M. (2017). Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action. eLife, 6:e22169,.
[PDF] [Abstract] Kasanova, Z., Ceccarini, J., Frank, M.J., van Amelsvoort, T., Booij, J., Heinzel, A., Mottaghy, F. & Myin-Germeys, I. (2017). Striatal dopaminergic modulation of reinforcement learning predicts reward-oriented behavior in daily life. Biological Psychology, 127, 1-9.
[PDF] [Abstract] Pedersen, M.L., Frank, M.J. & Biele, G. (2017). The drift diffusion model as the choice rule in reinforcement learning. Psychonomic Bulletin & Review, 24, 1234-1251.
[PDF] [Abstract] Voon, V., Napier, C., Frank, M.J., Sgambato-Faure, V., Grace, A.A., Rodriguez-Oroz, M., Obeso, J., Bezard, E. & Fernagut, P.O. (2017). Impulse control disorders and dyskinesias in Parkinson's disease: an update. The Lancet Neurology, 16, 238-250.
[Main PDF] [Supp PDF] [Abstract] Maia, T.V. & Frank, M.J. (2017). An integrative perspective on the role of dopamine in schizophrenia. Biological Psychiatry, 81, 52-66.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning. Cognition, 152, 160-169.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2016). Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants. Journal of Neuroscience, 36, 10314-10322.
[PDF] [Abstract] Nassar, M.R. & Frank, M.J. (2016). Taming the beast: extracting generalizable knowledge from computational models of cognition. Current Opinion in Behavioral Sciences, 11, 49-54.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2016). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife, 4:e12029,.
[PDF] [Abstract] Huys, Q.J.M., Maia, T.V. & Frank, M.J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience, 19, 404-413.
[PDF] [Abstract] Albrecht, M.A., Waltz, J.A., Cavanagh, J.F., Frank, M.J. & Gold, J. (2016). Reduction of Pavlovian bias in schizophrenia: Enhanced effects in clozapine-administered patients. PLoS ONE, 11:e0152781, 1-23.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Motor demands constrain cognitive rule structures. PLoS Computational Biology, 12:e1004785,.
[PDF] [Abstract] Wiecki, T.V., Antoniades, C.A., Stevenson, A., Kennard, C., Borowsky, B., Owen, G., Leavitt, B., Roos, R., Durr, A., Tabrizi, S.J. & Frank, M.J. (2016). A computational cognitive biomarker for early-stage Huntington's disease. PLoS ONE, 11:e0148409,.
[PDF] [Abstract] Doll, B.B., Bath, K.G., Daw, N.D. & Frank, M.J. (2016). Variability in dopamine genes dissociates model-based and model-free reinforcement learning. Journal of Neuroscience, 36, 1211-1222.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Surprise! Dopamine signals mix action, value and error. Nature Neuroscience, 19, 3-5.
[PDF] [Abstract] Stephan, K.E., Bach, D.R., Fletcher, P.C., Flint, J., Frank, M.J., Friston, K.J., Heinz, A., Huys, Q.J.M., Owen, M.J., Binder, E.B., Dayan, P., Johnstone, E.C., Meyer-Lindenberg, A., Montague, P.R., Schnyder, U., Wang, X.J. & Breakspear, M. (2016). Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. The Lancet Psychiatry, 3, 77-83.
[PDF] [Abstract] Morris, L., Baek, K., Kundu, P., Harrison, N.A., Frank, M.J. & Voon, V. (2016). Biases in the Explore-Exploit Tradeoff in Addictions: the Role of Avoidance of Uncertainty. Neuropsychopharmacology, 41, 940-948.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2015). 8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules. Psychological Science, 26, 805-815.
[PDF] [Abstract] Slagter, H.A., Georgopoulou, K. & Frank, M.J. (2015). Spontaneous eye blink rate predicts learning from negative, but not positive, outcomes. Neuropsychologia, 71, 126-132.
[PDF] [Abstract] Frank, M.J., Gagne, C., Nyhus, E., Masters, S., Wiecki, T.V., Cavanagh, J.F. & Badre, D. (2015). fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. Journal of Neuroscience, 35, 484-494.
[PDF] [Abstract] Cox, S.M.L., Frank, M.J., Larcher, K., Fellows, L.K., Clark, C.A., Leyton, M. & Dagher, A. (2015). Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes. NeuroImage, 109, 95-101.
[PDF] [Abstract] Frank, M.J. (2015). Linking across levels of computation in model-based cognitive neuroscience. B.U. Forstmann & E. Wagenmakers (Eds) An Introduction to Model-Based Cognitive Neuroscience, 163-181, New York: Springer.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Poland, J.S. & Frank, M.J. (2015). Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clinical Psychological Science, 3, 378-399.
[PDF] [Abstract] Frank, M.J. & Badre, D. (2015). How cognitive theory guides neuroscience. Cognition, 135, 14-20.
[PDF] [Abstract] Solomon, M., Frank, M.J., Ragland, J.D., Smith, A.C., Niendam, T.A., Lesh, T.A., Grayson, D.S., Beck, J.S., Matter, J. & Carter, C.S. (2015). Feedback-driven trial-by-trial learning in autism spectrum disorders. American Journal of Psychiatry, 172, 173-181.
[PDF] [Abstract] Kayser, A., Mitchell, J.M., Weinstein, D. & Frank, M.J. (2015). Dopamine, locus of control, and the exploration-exploitation tradeoff. Neuropsychopharmacology, 40, 454-462.
[PDF] [Abstract] Badre, D., Frank, M.J. & Moore, C.I. (2015). Interactionist Neuroscience. Neuron, 88, 855-860.
[PDF] [Abstract] Gold, J.M., Waltz, J.W. & Frank, M.J. (2015). Effort cost computation in schizophrenia: A commentary on the recent literature. Biological Psychiatry, 78, 747-753.
[PDF] [Abstract] Cavanagh, J.F., Masters, S.E., Bath, K. & Frank, M.J. (2014). Conflict acts as an implicit cost in reinforcement learning. Nature Communications, 5:5394,.
[PDF] [Abstract] Collins, A.G.E., Brown., J., Gold, J., Waltz, J. & Frank, M.J. (2014). Working memory contributions to reinforcement learning in schizophrenia. Journal of Neuroscience, 34, 13747-13756.
[Main PDF] [Supp PDF] [Abstract] Cockburn, J., Collins, A.G.E. & Frank, M.J. (2014). A reinforcement learning mechanism responsible for the valuation of free choice. Neuron, 83, 551-557.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2014). Opponent Actor Learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychological Review, 121, 337-366.
[PDF] [Abstract] Cavanagh, J.F. & Frank, M.J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18, 414-421.
[PDF] [Abstract] Collins, A.G.E., Cavanagh, J.F. & Frank, M.J. (2014). Human EEG uncovers latent generalizable task-set structure during learning. Journal of Neuroscience, 34, 4677-4685.
[PDF] [Abstract] Cavanagh, J.F., Sanguinetti, J.L., Allen, J.J.B., Sherman, S.J. & Frank, M.J. (2014). The subthalamic nucleus contributes to post-error slowing. Journal of Cognitive Neuroscience, 26, 2637-2644.
[PDF] [Abstract] Chatham, C., Frank, M.J. & Badre, D. (2014). Corticostriatal output gating during selection from working memory. Neuron, 81, 930-942.
[PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Kochar, A. & Frank, M.J. (2014). Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology: General, 143, 1476-1488.
[PDF] [Abstract] Doll, B.B., Waltz, J.A., Cockburn, J., K., B.J., Frank, M.J. & Gold, J.M. (2014). Reduced susceptibility to confirmation bias in schizophrenia. Cognitive, Affective and Behavioral Neuroscience, 14, 715-728.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Sofer, I. & Frank, M.J. (2013). HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. Frontiers of Neuroinformatics, 7, 1-10.
[PDF] [Abstract] Narayanan, S.N., Cavanagh, J.F., Frank, M.J. & Laubach, M. (2013). Common medial frontal mechanisms of adaptive control in humans and rodents. Nature Neuroscience, 16, 1888-95.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
[PDF] [Abstract] Gold, J.M., Strauss, G.P., Waltz, J.A., Robinson, B.M., Brown, J.K. & Frank, M.J. (2013). Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biological Psychiatry, 74, 130-136.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2012). How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis. European Journal of Neuroscience, 35, 1024-1035.
[PDF] [Abstract] Cavanagh, J.F., Figueroa, C.M., Cohen, M.X. & Frank, M.J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral Cortex 2575-86.
[Main PDF] [Supp PDF] [Abstract] Badre, D., Doll, B.B., Long, N.M. & Frank, M.J. (2012). Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration. Neuron, 73, 595-607.
[Main PDF] [Supp PDF] [Abstract] Gold, J.M., Waltz, J.A., Matveeva, T.M., Kasanova, Z., Strauss, G.P., Herbener, E.S., Collins, A.G.E. & Frank, M.J. (2012). Negative symptoms and the failure to represent the expected reward value of actions: Behavioral and computational modeling evidence. Archives of General Psychiatry, 69, 129-138.
[PDF] [Abstract] Jahfari, S., Verbruggen, F., Frank, M., Waldorp, L., Colzato, L., Ridderinkhof, K. & Forstmann, B. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. Journal of Neuroscience, 32, 10870-8.
[PDF] [Abstract] Ratcliff, R. & Frank, M.J. (2012). Reinforcement-based decision making in corticostriatal circuits: Mutual constraints by neurocomputational and diffusion models. Neural Computation, 24, 1186-1229.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526.
[PDF] [Abstract] Badre, D. & Frank, M.J. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 2: Evidence from fMRI. Cerebral Cortex, 22, 527-536.
[PDF] [Abstract] Wietzikoski, E.C., Boschen, S.L., Miyoshi, E., Bortolanza, M., Mendes dos Santos, L., Frank, M.J., Brandao, M.L., Winn, P. & Da Cunha, C. (2012). Roles of D1-like dopamine receptors in the nucleus accumbens and dorsolateral striatum in conditioned avoidance responses. Psychopharmacology, 219, 159-69.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[PDF] [Abstract] Doll, B.B., Hutchison, K.E. & Frank, M.J. (2011). Dopaminergic genes predict individual differences in susceptibility to confirmation bias. Journal of Neuroscience 6188-6198.
[PDF] [Abstract] Frank, M.J. (2011). Computational models of motivated action selection in corticostriatal circuits. Current Opinion in Neurobiology, 21, 381-386.
[PDF] [Abstract] Maia, T.V. & Frank, M.J. (2011). From reinforcement learning models to psychiatric and neurological disorders. Nature Neuroscience, 14, 154-162.
[PDF] [Abstract] Frank, M.J. & Fossella, J.A. (2011). Neurogenetics and pharmacology of learning, motivation and cognition. Neuropsychopharmacology Reviews, 36, 133-152.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A.J., Frank, M.J. & Allen, J.J.B. (2011). Larger error signals in major depression are associated with better avoidance learning. Frontiers in Psychology | Cognition, 2,.
[PDF] [Abstract] Cockburn, J. & Frank, M.J. (2011). Reinforcement learning, conflict monitoring, and cognitive control: An integrative model of cingulate-striatal interactions and the ERN. R. Mars, J. Sallet, M. Rushworth & N. Yeung (Eds) Neural Basis of Motivational and Cognitive Control, 311-331, Cambridge: The MIT Press.
[PDF] [Abstract] Strauss, G.P., Frank, M.J., Waltz, J.A., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Deficits in positive reinforcement learning and uncertainty-driven exploration are associated with distinct aspects of negative symptoms in schizophrenia. Biological Psychiatry, 69, 424-431.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J. & Allen, J.J.B. (2011). Social stress reactivity alters reward and punishment learning. Social Cognitive & Affective Neuroscience, 6, 311-320.
[PDF] [Abstract] Solomon, M., Smith, A.C., Frank, M.J., Ly, S. & Carter, C. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Research.
[PDF] [Abstract] Solomon, M., Frank, M.J., Smith, A.C., Ly, S. & Carter, C. (2011). Transitive inference in adults with autism spectrum disorders. Cognitive, Affective and Behavioral Neuroscience.
[PDF] [Abstract] Kasanova, Z., Waltz, J.A., Strauss, G.P., Frank, M.J. & Gold, J.M. (2011). Optimizing vs matching: Response strategy in a probabilistic learning task is associated with negative symptoms of schizophrenia. Schizophrenia Research, 127, 215-222.
[PDF] [Abstract] Waltz, J.A., Frank, M.J., Wiecki, T.V. & Gold, J.M. (2011). Altered probabilistic learning and response biases in schizophrenia: Behavioral evidence and neurocomputational modeling. Neuropsychology, 25,.
[PDF] [Abstract] Strauss, G.P., Robinson, B.M., Waltz, J.A., Frank, M.J., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Patients with schizophrenia demonstrate inconsistent preference judgments for affective and nonaffective stimuli. Schizophrenia Bulletin, 37, 1295-1304.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2010). Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Progress in Brain Research, 183, 275-297.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J., Klein, T.J. & Allen, J.J.B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage, 49, 3198-3209.
[PDF] [Abstract] Cavanagh, J.F., Grundler, T.O.J., Frank, M.J. & Allen, J.J.B. (2010). Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 48, 2098-2109.
[PDF] [Abstract] Robinson, O.J., Frank, M.J., Sahakian, B.J. & Cools, C. (2010). Dissociable responses to punishment in distinct striatal regions during reversal learning. NeuroImage 1459-1467.
[PDF] [Abstract] Samson, R.D., Frank, M.J. & Fellous, J. (2010). Computational models of reinforcement learning: the role of dopamine as a reward signal. Cognitive Neurodynamics, 4, 91-105.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2010). Neural mechanisms of acquired phasic dopamine responses in learning. Neuroscience & Biobehavioral Reviews, 34, 701-720.
[PDF] [Abstract] Chase, H.W., Frank, M.J., Michael, A., Bullmore, E.T., Sahakian, B. & Robbins, T.W. (2010). Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia. Psychological Medicine, 40, 433-440.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Doll, B.B., Oas-Terpstra, J. & Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience, 12, 1062-1068.
[PDF] Daw, N.D. & Frank, M.J. (2009). Reinforcement learning and higher level cognition: Introduction to special issue. Cognition, 113, 259-261.
[PDF] Frank, M.J. & Surmeier, D.J. (2009). Do substantia nigra dopaminergic neurons differentiate between reward and punishment? (Commentary on Matsumoto & Hikosaka, 2009). Journal of Molecular Cell Biology, 1, 15-16.
[Email Michael Frank for PDF] [Abstract] Doll, B.B. & Frank, M.J. (2009). The basal ganglia in reward and decision making: computational models and empirical studies. J. Dreher & L. Tremblay (Eds) Handbook of Reward and Decision Making, 399-425, Oxford: Academic Press.
[PDF] [Abstract] Frank, M.J. & Hutchison, K.E. (2009). Genetic contributions to avoidance-based decisions: Striatal D2 receptor polymorphisms. Neuroscience, 164, 131-140.
[PDF] Frank, M.J. (2009). Slave to the striatal habit (Commentary on Tricomi et al, 2009). European Journal of Neuroscience, 29, 2223-2224.
[PDF] [Abstract] Gruendler, T.O.J., Cavanagh, J.F., Figueroa, C.M., Frank, M.J. & Allen, J.J.B. (2009). Task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 47, 1978-1987.
[Main PDF] [Supp PDF] [Abstract] Chatham, C.H., Frank, M.J. & Munakata, Y. (2009). Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control. Proceedings of the National Academy of Sciences, 106, 5529-5533.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Riedinger, K., Meyerhofer, A., Schmidt, W. & Frank, M.J. (2009). A neurocomputational account of catalepsy sensitization induced by D2-receptor-blockade in rats: Context-dependency, extinction, and renewal. Psychopharmacology, 204, 265--277.
[PDF] [Abstract] Doll, B.B., Jacobs, W.J., Sanfey, A.G. & Frank , M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research, 1299, 74-94.
[PDF] [Abstract] Frank, M.J., Cohen, M.X. & Sanfey, A.G. (2009). Multiple systems in decision making: A neurocomputational perspective. Current Directions in Psychological Science, 18, 73--77.
[Main PDF] [Supp PDF] [Abstract] Cools, R., Frank, M.J., Gibbs, S.E., Miyakawa, A., Jagust, W. & D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. Journal of Neuroscience, 29, 1538-1543.
[PDF] [Abstract] Cohen, M.X. & Frank, M.J. (2009). Neurocomputational models of basal ganglia function in learning, memory and choice. Behavioural Brain Research, 199, 141-156.
[PDF] [Abstract] Santesso, D., Evins, A., Frank, M., Cowman, E. & Pizzagalli, D. (2009). Single dose of a dopamine agonist impairs reinforcement learning in humans: Converging evidence from electrophysiology and computational modeling of striatal-cortical function. Human Brain Mapping, 30, 1963--1976.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] Frank, M.J. (2008). Schizophrenia: A computational reinforcement learning perspective. Schizophrenia Bulletin, 34, 1008-1011.
[PDF] [Abstract] Moustafa, A.A., Sherman, S.J. & Frank, M.J. (2008). A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia, 46, 3144-3156.
[PDF] [Abstract] Frank, M.J. & Kong, L. (2008). Learning to Avoid in Older Age. Psychology and Aging, 23, 392-398.
[PDF] [Abstract] Frank, M.J., O'Reilly, R. & Curran, T. (2008). Midazolam, hippocampal function, and transitive inference: Reply to Greene. Behavioral and Brain Functions, 4, 5.
[PDF] [Abstract] Pizzagalli, D.A., Evins, A.E., Schetter, E.C., Frank, M.J., Pajtas, P.E., Santesso, D.L. & Culhane, M. (2008). Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness. Psychopharmacology, 196, 221--232.
[PDF] [Abstract] Frank, M.J., D'Lauro, C. & Curran, T. (2007). Cross-task individual differences in error processing: Neural, electrophysiological and genetic components. Cognitive, Affective and Behavioral Neuroscience, 7, 297-308.
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Commentary] [Abstract] Waltz, J.A., Frank, M.J., Robinson, B.M. & Gold, J.M. (2007). Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biological Psychiatry, 62, 756-764.
[PDF] [Abstract] Aron, A.R., Behrens, T.E., Smith, S., Frank, M.J. & Poldrack, R.A. (2007). Triangulating a cognitive control network using diffusion-weighted MRI and functional MRI. Journal of Neuroscience, 27, 3743-52.
[PDF] [Abstract] O'Reilly, R.C., Frank, M.J., Hazy, T.E. & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian learning algorithm. Behavioral Neuroscience, 121, 31-49.
[PDF] [Abstract] Frank, M.J. (2006). Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. Neural Networks, 19, 1120-1136.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
[PDF] [Abstract] Frank, M.J. & Claus, E.D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making and reversal. Psychological Review, 113, 300-326.
[PDF] [Abstract] Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
[PDF] [Abstract] O'Reilly, R.C. & Frank, M.J. (2006). Making working memory work: A computational model of learning in the frontal cortex and basal ganglia. Neural Computation, 18, 283-328.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2006). Banishing the homunculus: Making working memory work. Neuroscience, 139, 105--118.
[PDF] [Abstract] Frank, M.J., Rudy, J.W., Levy, W.B. & O'Reilly, R.C. (2005). When logic fails: Implicit transitive inference in humans. Memory and Cognition, 33, 742--750.
[PDF] [Abstract] Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
[PDF] [Abstract] Frank, M.J., Woroch, B.S. & Curran, T. (2005). Error-related negativity predicts reinforcement learning and conflict biases. Neuron, 47, 495-501.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Seeberger, L. & O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943.
[PDF] [Abstract] Atallah, H.E., Frank, M.J. & O'Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67.
[PDF] [Abstract] Frank, M.J., Rudy, J.W. & O'Reilly, R.C. (2003). Transitivity, flexibility, conjunctive representations and the hippocampus: II. A computational analysis. Hippocampus, 13, 341-354.
[PDF] [Abstract] Frank, M.J., Loughry, B. & O'Reilly, R.C. (2001). Interactions between the frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160.


text:
Speech of Mr. Clay, of Kentuck...
Clay, H. (1838). Speech of Mr. Clay, of Kentucky, establishing a deliberate design, on the part of the late and present executive of the United States, to break down the whole banking system of the United States: Commencing with the Bank of the United States and terminating with the state banks, and to create on their ruins a government treasury bank under the exclusive control of the executive, and in reply to the speech of the Hon. J.C. Calhoun, of South Carolina, supporting that treasury bank : delivered in the Senate of the United States, February 19, 1838. Printed at the office of the National Register.
Clay, Henry. Speech of Mr. Clay, of Kentucky, Establishing a Deliberate Design, on the Part of the Late and Present Executive of the United States, to Break Down the Whole Banking System of the United States: Commencing with the Bank of the United States and Terminating with the State Banks, and to Create on Their Ruins a Government Treasury Bank Under the Exclusive Control of the Executive, and in Reply to the Speech of the Hon. J.C. Calhoun, of South Carolina, Supporting That Treasury Bank : Delivered in the Senate of the United States, February 19, 1838. Washington: Printed at the office of the National Register, 1838.
Clay, Henry. Speech of Mr. Clay, of Kentucky, Establishing a Deliberate Design, on the Part of the Late and Present Executive of the United States, to Break Down the Whole Banking System of the United States: Commencing with the Bank of the United States and Terminating with the State Banks, and to Create on Their Ruins a Government Treasury Bank Under the Exclusive Control of the Executive, and in Reply to the Speech of the Hon. J.C. Calhoun, of South Carolina, Supporting That Treasury Bank : Delivered in the Senate of the United States, February 19, 1838. Printed at the office of the National Register, 1838.

redpajama_set_name: RedPajamaCommonCrawl


"Donovan's primary focus is on the deconstruction and reconstruction of photographs. His technique is simply cut and paste. The final results oscillate between the representational and the abstract. By cutting each image he appropriates their content for use in other unexpected juxtapositions. It is the unexpected that expands imaginative associations in both the creator and viewer. The perspective in the images are both plural and ambiguous which creates an intense creative world where his consciousness gives way to the subconscious and leads him on a path of self-discovery".
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Home What's Happening Hilton South East Asia F&B Masters Grand Finale At DoubleTree By...
Hilton South East Asia F&B Masters Grand Finale At DoubleTree By Hilton Hotel Jakarta – Diponegoro
Hilton South East Asia F&B Masters Grand Finale
At DoubleTree By Hilton Hotel Jakarta – Diponegoro
In a monumental feat of organisation, the inaugural Hilton South East Asia F&B Masters Grand Finale was held at the newly opened Jakarta DoubleTree by Hilton in early February, to coincide with the regional General Managers Meeting. The fantastic event was the culmination of weeks of intense local, regional and national competition encompassing all 26 Hilton Worldwide properties across Indonesia, the Maldives, Malaysia, Singapore, Sri Lanka, Thailand and Vietnam. The goal of this ambitious and exciting project is to identify the brand's rising talent and with four categories: culinary, barista, sommelier and bar, it offers the young competitors a stage to showcase their considerable flair and talent under the watchful eyes of the judges and the group's movers and shakers. The competition was down to just 20 finalists to battle it out over two days at the hotel to produce four winners who, apart from the trophy and status, took home some fantastic prizes. The winner of the Culinary Cup, for example, will enjoy a trip to Tokyo to include kitchen time in both the Michelin-starred restaurant at the Conrad Toyko and at the fabulous Tsunohazu, a multifaceted dining floor at the Hilton Tokyo. William Costley, Vice President Operations – South East Asia, Hilton Worldwide sums up the motivation and expectations perfectly. "The Hilton SEA F&B Masters helps us develop and celebrate the amazing talent we have in the region, while also raising the bar of our F&B offerings. It is not merely a competition to find the best chef or barista in our portfolio. It's more about acknowledging the talent within our team and helping them develop further. The contestants are getting practical and theoretical tutelage, while being put in real life situations with actual guests. It's accelerated learning that is helping them hone their skills and creativity in their chosen craft." The four winners were Imran Sabawi from Hilton Singapore in the Barista Cup, from the Conrad Maldives; Kamal Malik took the honours in the Sommelier Cup; Lersak Jamkadsin representing the Millenium Bangkok Hilton won the Bar Cup, whilst Pisuttha Nu-ked from the Hilton Sukhumvit Bangkok captured the coveted Culinary Cup. The competition was extraordinarily tight with only a single point separating the winner and runner-up in two of the four categories. The winners were announced at a Gala Dinner, where General Manager Markus Kaliss and his team displayed why the DoubleTree by Hilton Jakarta – Diponegoro is rapidly becoming a venue of choice for events and corporate entertainment in the city. Well done to all involved and a special Exquisite Publishing cheer to the winners, whose careers we will follow with interest! www.jakarta.diponegoro.doubletree.com
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At Dormio Residence Zell am See Centre you will fully relish in the good Austrian mountain life. Only steps away from your apartment you find yourself on the banks of the Zeller See where in the summer you can go for a swim or practice one of the many water sports. In the winter, it's the starting point for a fantastic winter sport. The gondolas to the ski slopes are nearby.
In the summer, people will enjoy the clean and fresh mountain air and the beautiful lakes. In the winter, Zell am See, together with Kaprun and Saalbach-Hinterglemm, is one of the most favoured winter sports destinations in Europe. This area is frequently visited by the rich and famous.
Zell am See is a good starting point for sightseeing in the area, including the Krimml waterfalls, the Großglockner Hochalpenstrasse and the Kaprun reservoirs. Zell am See bustles year-round. Entertainment can be found in many forms and places.