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Computational and Theoretical Neuroscience Journal Club at CNCD (Past)

As the tools in experiments neuroscience are rapidly developing, this is an important time to consider the broad trends and aims of the computational/theoretical works that are born alongside them. Our aim is to present and discuss papers that reflect these modern directions so that we may better understand how our own work fits into a global neuroscience picture. Some themes and topics that we hope to cover are:

computational models of neural systems
novel analysis tools for understanding neural recordings
recent advances in theoretical neuroscience
popular theories in neuroscience

Current schedule

2025 Fall Schedule

Date	Presenter	Paper
09/03	Braden Brinkman	Coarse Graining, Fixed Points, and Scaling in a Large Population of Neurons
09/10	Vidya Pattisapu	Metabolically regulated spiking could serve neuronal energy homeostasis and protect from reactive oxygen species
09/17	Jacob Crosser	Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics
09/24	Prerana Shrestha	Research presentation
10/01	Siddharth Paliwal	Chaotic neural dynamics facilitate probabilistic computations through sampling
10/08	Yuhan Zhang	A cognitive map for value-guided choice in the ventromedial prefrontal cortex
10/15	[Cosyne deadline]
10/22	Liam Lang	Biologically informed cortical models predict optogenetic perturbations
10/29	Peter Bo	Transitions in dynamical regime and neural mode during perceptual decisions
11/05	John Chan	Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes
11/12	Tai Yuan	Intrinsic dynamics of randomly clustered networks generate place fields and preplay of novel environments
11/19	Siwei Wang	Probabilistic models, compressible interactions, and neural coding
11/26	[Thanksgiving]
12/03	Giancarlo La Camera	Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial

2024 Fall Schedule

9/4 Braden Brinkman
9/11 Jacob Crosser
9/18 Xiaoyu Yang
9/25 Tianshu Li
10/2 Siwei Wang
10/9 Srividya Pattisapu
10/16 Allison George
10/23 NA
10/30 Yuhan Zhang
11/6 Siddharth Paliwal
11/13 Liam Lang
11/20 Tai Yuan
11/27 NA
12/04 Giancarlo La Camera

2024 Fall Papers

9/4 Synapse-type-speciﬁc competitive Hebbian learning forms functional recurrent networks

9/11 Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity

9/18 Theory of Coupled Neuronal-Synaptic Dynamics

9/25 Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks

10/2 µSim: A goal-driven framework for elucidating the neural control of movement through musculoskeletal modeling

10/9 Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

10/16 Reinforcement biases subsequent perceptual decisions when confidence is low, a widespread behavioral phenomenon

10/30 Mice alternate between discrete strategies during perceptual decision-making

11/06 Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity

11/13 Recurrent dynamics of prefrontal cortex during context-dependent decision-making

11/20 Multiscale organization of neuronal activity unifies scale-dependent theories of brain function

12/04 Identifying and modulating neural signatures of stress susceptibility and resilience enables control of anhedonia

2022 Spring Schedule

1/26 Josue Nassar
2/2 Kurt Butler
2/9 Memming Park
2/16 Thomas Grunauer
2/23 Shahbegh Kalra
3/2 Matthew Dowling
3/9 Danielle Roedel
3/16 No JC (Spring Break)
3/23 Siddharth Paliwal
3/30 Ayesha Vermani
4/6 Tianshu Li
4/13 Irene Nozal
4/20 Tushar Arora
4/27 Dan Waxman
5/4 Jake Crosser
5/11 No JC (Final exams)
5/18 No JC (Final exams)

2022 Spring Papers

1/26 Reward-based training of recurrent neural networks for cognitive and value-based tasks

2/2 Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks

2/9 Coherent encoding of subjective spatial position in visual cortex and hippocampus

2/16 Difference Target Propagation

2/23 Multiscale adaptive analysis of circadian rhythms and intradaily variability: Application to actigraphy time series in acute insomnia subjects

3/2 Opposing effects of selectivity and invariance in peripheral vision

3/9 Sparse Coding Models Can Exhibit Decreasing Sparseness while Learning Sparse Codes for Natural Images

3/23 Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick

3/30 Sequential and efficient neural-population coding of complex task information

4/6 Attractor-state itinerancy in neural circuits with synaptic depression

4/13 Sucrose intensity coding and decision-making in rat gustatory cortices

4/20 Generalized Shape Metrics on Neural Representations

4/27 Prefrontal cortex as a meta-reinforcement learning system

5/4 Representational geometry of perceptual decisions in the monkey parietal cortex

2021 Fall Schedule

9/8 Xiaoyu Yang
9/15 Tong Liang
9/22 Jake Crosser
9/29 Matthew Dowling
10/6 Tianshu Li
10/13 Ayesha Vermani
10/20 Tushar Arora
10/27 Siddharth Paliwal
11/3 Piotr Sokol
11/10 Ian Jordan
11/17 Khue Tran
11/24 No JC (Thanksgiving break)
12/1 Irene Nozal Martin
12/8 No JC (Final exams)
12/15 No JC (Final exams)

2021 Fall Papers

9/8 Dynamic Population Coding of Category Information in ITC and PFC (2008)

9/15 Synaptic plasticity as Bayesian inference (2021)

9/22 Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems (2016)

9/29 Building population models for large-scale neural recordings: Opportunities and pitfalls (2021)

10/6 Choice-relevant information transformation along a ventrodorsal axis in the medial prefrontal cortex

10/13 Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity

10/20 Continual Learning Through Synaptic Intelligence

10/27 Emergence of Slow-Switching Assemblies in Structured Neuronal Networks

11/3 Targeted Neural Dynamical Modeling

11/10 Area 2 of primary somatosensory cortex encodes kinematics of the whole arm

11/17 Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits

12/1 Inhibitory connectivity defines the realm of excitatory plasticity

Computational Neuroscience Journal Club

Computational Neuroscience Journal Club