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RTG Computational Cognition
Germany
เข้าร่วมเมื่อ 21 ธ.ค. 2020
Official channel for the Computational Cognition Research Training Group.
Institute of Cognitive Science
University of Osnabrueck
Institute of Cognitive Science
University of Osnabrueck
Under-resourced or overloaded? Rethinking working memory deficits in developmental language disorder
Contributed talk by Samuel David Jones & Gert Westermann (Lancaster University, UK) at the "Computational Cognition Workshop" in 2021
มุมมอง: 103
วีดีโอ
Understanding rat behavior in a naturalistic task vianon-deterministic policies
มุมมอง 883 ปีที่แล้ว
Contributed talk by Johannes Niediek, Maciej M. Jankowski, Ana Polterovich, Alex Kazakov, & Israel Nelken (The Hebrew University of Jerusalem, Israel) at the "Computational Cognition Workshop" in 2021
Claire Sergent: Brain dynamics associated with conscious processing
มุมมอง 1343 ปีที่แล้ว
Talk by Professor Claire Sergent (University of Paris, France) at the "Computational Cognition" Workshop in 2021
Emergent resonances in recurrent neural networks and their effects on learning
มุมมอง 483 ปีที่แล้ว
Contributed talk by Pau Vilimelis Aceituno (ETH Zurich, Switzerland) at the "Computational Cognition Workshop" in 2021
Social Context Shapes Value Representation during Learning
มุมมอง 493 ปีที่แล้ว
Contributed talk by Huang Ham & Adrianna C. Jenkins (University of Pennsylvania, USA) at the "Computational Cognition Workshop" in 2021
Richard Baraniuk: Deep Network Spline Geometry
มุมมอง 3273 ปีที่แล้ว
Talk by Professor Richard Baraniuk (Rice University, USA) at the "Computational Cognition" Workshop in 2021
Andrea E. Martin: Boundary conditions for language in biological and artificial neural systems
มุมมอง 3033 ปีที่แล้ว
Talk by Dr. Andrea E. Martin (Max Planck Institute for Psycholinguistics, Netherlands) at the "Computational Cognition" Workshop in 2021
Human Random Generation as a Locally-Bound Process
มุมมอง 603 ปีที่แล้ว
Contributed talk by Lucas Castillo, Pablo León-Villagrá, Nick Chater, & Adam Sanborn (University of Warwick, UK) at the "Computational Cognition Workshop" in 2021
Fostering Compositionality in Generative RNNs to Solve the Omniglot challenge
มุมมอง 843 ปีที่แล้ว
Contributed talk by Sarah Fabi,Sebastian Otte, & Martin V. Butz (Neuro-Cognitive Modeling, University of Tübingen, Germany) at the "Computational Cognition Workshop" in 2021
Tom Griffiths: Understanding human intelligence through human limitations
มุมมอง 5613 ปีที่แล้ว
Talk by Professor Tom Griffiths (Princeton University, USA) at the "Computational Cognition" Workshop in 2021
Jacob Andreas: Implicit representations of meaning in neural language models
มุมมอง 3493 ปีที่แล้ว
Talk by Professor Jacob Andreas (MIT, USA) at the "Computational Cognition" Workshop in 2021
Reinforcement Learning in Neuroscience
มุมมอง 7733 ปีที่แล้ว
Reinforcement Learning Crash Course by Viviane Clay 0:00:45 Dopamine 0:02:26 Reward Prediction Error Hypothesis 0:05:06 Experimental Evidence 0:13:05 Neural Actor-Critic 0:19:18 STDP 0:21:53 Hedonistic Neurons 0:24:29 Collective Reinforcement Learning 0:30:36 Model Based Methods in the Brain 0:33:45 Addiction 0:35:50 Computational Psychiatry If you are looking for a DeepRL perspective on this, ...
Reinforcement Learning in Psychology
มุมมอง 4463 ปีที่แล้ว
Reinforcement Learning Crash Course by Viviane Clay 0:01:54 Law of Effect & Conditioning Intro 0:04:38 Classical Conditioning 0:08:00 Phenomena in Classical Conditioning (Blocking & Higher-Order Conditioning) 0:10:20 Rascorla-Wagner Model 0:19:08 TD Model 0:24:56 Stimulus Representations 0:26:00 TD Model Simulations 0:38:56 Instrumental/Operand Conditioning 0:43:22 Delayed Reinforcement 0:46:41...
Reinforcement Learning Crash Course - Summary
มุมมอง 1673 ปีที่แล้ว
Reinforcement Learning Crash Course by Viviane Clay 0:00:00 Summary 0:04:08 Exercise 0:05:12 Exercise Solution 0:06:23 Game Results
Reinforcement Learning Crash Course - Eligibility Traces & Function Approximation
มุมมอง 1.7K3 ปีที่แล้ว
Reinforcement Learning Crash Course - Eligibility Traces & Function Approximation
Reinforcement Learning Crash Course - n-step TD Learning
มุมมอง 9843 ปีที่แล้ว
Reinforcement Learning Crash Course - n-step TD Learning
Reinforcement Learning Crash Course - Time-Difference Learning
มุมมอง 2293 ปีที่แล้ว
Reinforcement Learning Crash Course - Time-Difference Learning
Reinforcement Learning Crash Course - Monte Carlo
มุมมอง 3003 ปีที่แล้ว
Reinforcement Learning Crash Course - Monte Carlo
Reinforcement Learning Crash Course - Dynamic Programming
มุมมอง 2083 ปีที่แล้ว
Reinforcement Learning Crash Course - Dynamic Programming
Reinforcement Learning Crash Course - Markov Decision Processes
มุมมอง 3163 ปีที่แล้ว
Reinforcement Learning Crash Course - Markov Decision Processes
Reinforcement Learning Crash Course - Introduction
มุมมอง 7873 ปีที่แล้ว
Reinforcement Learning Crash Course - Introduction
At 8:38 there should be: change = MIN(change, abs(old_V - V(S))) instead of MAX(...)
A super helpful video.
In the n-step value update, is s V_(t+n-1) (S_t) just the previous estimated value of S_t ?
This was really helpfull, Thanks
Hi, this video froze after minute 3...
It's becoming more clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first.
Thank you for creating this kind of content. Sounds pretty interesting!
Very good