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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
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Keynote Speaker Forum
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Circuits in Action
Hippocampus
Learning and Dynamics
Neurons to Circuits
Sensory Systems
Structural and Functional Connectivity
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Central Pattern Generator
Neurons to Circuits
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W01: Methods of Information Theory in Computational Neuroscience
W02: Calcium signalling
W03: Information - Theoretic Models of Psychology and Neuroscience
W04: Tools and resources for developing and sharing models in computational neuroscience
W05: Spatiotemporal Dynamics in Neuroimaging: Models and Analysis
W06: Allen Institute data and tools
W07: Dynamics of Rhythm Generation: Role of Ionic Pumps; Exchangers; and Ion Homeostasis
W09: Machine learning and mechanistic modeling for understanding brain in health and disease
W10: Modelling Interneurons during Memory
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Popular Events
#1
K1: Deep reinforcement learning and its neuroscientific implications
#2
Methods from Data Science for Model Simulation, Analysis, and Visualization
#3
Characterizing neural dynamics using highly comparative time-series analysis
#4
Building mechanistic multiscale models, from molecules to networks, using NEURON and NetPyNE
#5
Introduction to the Brain Dynamics Toolbox
#6
Information theory and directed network inference (using JIDT and IDTxl)
#7
Discussion with Matt Botvinick
#8
The use of Keras with Tensor Flow applied to neural models and data analysis
#9
Tools and techniques to bridge the gap between models and closed-loop neuroscience experiments
#10
K2: A new computational framework for understanding vision in our brain
#11
O4: Towards multipurpose bio-realistic models of cortical circuits
#12
O1: Dopamine role in learning and action inference
#13
O2: Neural Manifold Models for Characterising Brain Circuit Dynamics in Neurodegenerative Disease
#14
F2: Using evolutionary algorithms to explore single-cell heterogeneity and microcircuit operation in the hippocampus
#15
O5: How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex
#16
O3: Coupled experimental and modeling representation of the mechanisms of epileptic discharges in rat brain slices
#17
F1: Delineating Reward/Avoidance Decision Process in the Impulsive-compulsive Spectrum Disorders through a Probabilistic Reversal Learning Task
#18
O7: 'Awake Delta' and Theta-Rhythmic Modes of Hippocampal Network Activity Track Intermittent Locomotor Behaviors in Rat
#19
P192: Estimating Transfer Entropy in Continuous Time For Spike Trains
#20
K3: Information and Decision-Making
#21
F3: Neuronal morphology imposes a tradeoff between stability, accuracy and efficiency of synaptic scaling
#22
O14: Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data
#23
O9: Discovering synaptic mechanisms underlying the propagation of cortical activity: A model-driven experimental and data analysis approach
#24
O13: Cortical integration and segregation explained by harmonic modes of functional connectivity
#25
O12: A Spatial Developmental Generative Model of Human Brain Structural Connectivity
#26
F4: Who can turn faster? Comparison of the head direction circuit of two species
#27
O10: Neural flows: estimation of wave velocities and identification of singularities in 3D+t brain data
#28
K4: Computational models of neural development
#29
W1 S0: Methods of Information Theory in Comptuational Neuroscience - Opening Remarks
#30
W3 S0: Information-Theoretic Models in Psychology and Neuroscience (Opening remarks)
#31
W05 S00: Opening Remarks On Spatiotemporal Dynamics in Neuroimaging: Models and Analysis
#32
W06 S1: An overview of data, tools, and computational analysis at the Allen Insitute
#33
W4 S5: The Brian Simulator
#34
W4 S6: The NEURON Simulator
#35
W3 S4: Working Memory 2.0
#36
W06 S6: Is cortex a hierarchically organized set of canonical local circuits?
#37
W3 S3: Neural Circuits Underlying Bayesian Inference in Time Perception
#38
W4 Discussion 1: Where should we be in 5 years and what tools/resources are missing?
#39
W4 S7: NetPyNE modeling tool
#40
W9 S1 - Machine learning and mechanistic modeling for understanding brain in health and disease
#41
W3 S7: Deep Inference and Information Gain
#42
W9 S8 - Strong inhibition and stable temporal dynamics in spiking networks sustain working memory
#43
W1 S6: Structure of information to understand the physical basis of consciousness
#44
W4 S10: The Human Brain Project (HBP) Brain Simulation Platform (BSP)
#45
W4 S12: NeuroML and Open Source Brain
#46
W9 S9 - Toward multi-scale brain data assimilation
#47
W9 S2 - Using reinforcement learning to train biophysically detailed models of visual-motor cortex to play Atari games
#48
W06 S17: Functional computation in the mouse visual cortex
#49
W06 S19:Explorations of self-supervised learning in the neocortex using open data
#50
W06 S18:Testing theories of sensory coding and learning with the Allen Institute's Brain Observatory
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