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CNeuro @UCsx4rl99oWeV0FZe95k3y_w@youtube.com

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CNeuro brings together leading scientists in the field to in


56:56
DAY 7 - 2024-07-14 - Ole Jensen - Advanced Lecture
01:10:24
DAY 7 - 2024-07-15 - Ruben Moreno-Bote - Advanced Lecture
01:09:22
DAY 6 - 2024-07-14 - Vincent Hakim - Advanced Lecture
01:11:22
DAY 6 - 2024-07-14 - Naoshiga Uchida - Advanced Lecture
01:12:22
DAY 6 - 2024-07-14 - Tianming Yang - Advanced Lecture
01:36:05
DAY 6 - 2024-07-14 - Naoshiga Uchida - Basic Lecture
01:09:22
DAY 5 - 2024-07-13 - Mitya Chklovskii - Advanced Lecture
01:08:55
DAY 5 - 2024-07-13 - Nathaniel Daw - Advanced Lecture
01:38:01
DAY 4 - 2024-07-11 - Tianming Yang - Basic Lecture
01:28:10
DAY 4 - 2024-07-11 - Ole Jensen - Basic Lecture
01:40:57
DAY 3 - 2024-07-10 - Hang Zhang - Basic Lecture
01:05:33
DAY 3 - 2024-07-10 - Sukbin Lim - Advanced Lecture
01:37:45
DAY 3 - 2024-07-10 - Nathaniel Daw - Basic Lecture
01:30:50
DAY 2 - 2024-07-09 - Sukbin Lim - Basic Lecture
01:36:22
DAY 2 - 2024-07-09 - NingLong Xu - Basic Lecture
01:28:11
DAY 2 - 2024-07-09 - Pulin Gong - Basic Lecture
01:31:43
DAY 1 - 2024-07-08 - Vincent Hakim - Basic Lecture
01:34:23
DAY 1 - 2024-07-08 - Ruben Moreno-Bote - Basic Lecture
01:31:09
DAY 1 - 2024-07-08 - Mitya Chklovskii - Basic Lecture
01:07:07
2021-08-15 Vijay Balasubramanian - Principles of distributed computation in the brain - Part2
51:09
2021-08-16 Dmitri B Chklovskii - A normative approach to neural computation - Part1
01:08:24
2021-08-16 Dmitri B Chklovskii - A normative approach to neural computation - Part2
01:54:16
2021-08-17 Christian Machens - Population coding and distributed representations in the brain
02:00:47
2021-08-17 Kanaka Rajan - What can we learn about the brain from Recurrent Neural Networks
01:21:48
2021-08-18 Cori Bargmann - Timescales in the nervous system
02:03:58
2021-08-19 Dmitri B Chklovskii - Similarity matching networks
01:54:46
2021-08-15 Eric Shea-Brown - Dimensionality in neural network I
02:01:30
2021-08-20 Julijana Gjorgjieva - Plasticity in developing neural circuits
02:03:51
2021-08-21 Christian Machens - A geometric view on spiking networks and distributed representations
02:01:01
2021-08-21 Kanaka Rajan - RNNs for Mechanism Discovery in Neuroscience
02:10:03
2021-08-20 Vijay Balasubramanian - Imagine Space
01:50:48
2021-08-19 Eric Shea-Brown - Dimensionality in neural network II
01:47:35
2022-08-15 Ruben Moreno Bote - Soft Reinforcement Learning - Basic Lecture
02:11:15
2022-08-16 Tianming Yang - Neural Mechanisms - Basic Lecture
01:53:46
2022-08-17 Yonatan Loewenstein - Intertemporal Conflicts in Decision Making - Basic Lecture
01:52:00
2022-08-21 Gergo Orban - Internal Models for Perception - Advanced Lecture
01:34:03
2022-08-19 Maneesh Sahani - Probabilistic Inference in Neural Systems - Advanced Lecture
01:59:51
2022-08-14 Maneesh Sahani - Inference in Perception - Basic Lecture
01:46:05
2022-08-20 Yonatan Loewenstein - Choice Bias as a Window - Advanced Lecture
01:10:49
2022-08-19 Kameron Decker Harris - Theoretical Analysis of Neural Network Models - Advanced Lecture
01:29:29
2022-08-21 Hang Zhang - Cognitive Illusions as Bayesian Inference - Advanced Lecture
01:22:05
2022-08-17 Hang Zhang - Bayesian Observer Models - Basic Lecture
01:35:54
2022-08-20 Tianming Yang - Neural Network Models of Decision Making - Advanced Lecture
01:06:21
2022-08-17 Ruben Moreno Bote - Seeking Entropy: Complex Behaviour - Advanced Lecture
01:28:19
2022-08-14 Gergo Orban - Understanding Sensory Computations through Adaptation - Basic Lecture
02:15:34
2022-08-16 Alaa Ahmed - Computational Principles of Movement Control - Basic Lecture
01:37:14
2022-08-15 Kameron Decker Harris - Neural Networks - Basic Lecture
01:25:52
2022-08-19 Alaa Ahmed - Unifying Framework for Movement Control & Decision Making - Advanced Lecture
01:39:25
2022-08-18 Silvia Arber - Organization and Function of Circuits for Body Movements - Special Lecture