Check the Meetings table below for the topics of future meetings.
Below are the upcoming journal clubs, as well as summaries of previous meetings.
| Date | Presenter | Reading |
|---|---|---|
|
2020/12/09 |
Kai Chen |
Generating Coherent Patterns of Activity from Chaotic Neural Networks. |
|
2021/04/21 |
Kai Chen |
Universality and individuality in neural dynamics across large populations of recurrent networks. |
|
2021/05/20 |
Kai Chen |
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks. |
|
2021/08/18 |
Boran Yang |
Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. |
|
2021/09/08 |
Kai Chen |
Learning function from structure in neuromorphic networks. |
|
2021/11/29 |
Boran Yang |
Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry. |
|
2021/12/13 |
Kai Chen |
Context-dependent computation by recurrent dynamics in prefrontal cortex. |
|
2021/12/27 |
Jingcheng Shi |
Task representations in neural networks trained to perform many cognitive tasks. |
|
2022/02/09 |
Boran Yang |
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. |
|
2022/02/16 |
Bo Wang |
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. |
|
2022/02/21 |
Xuexing Du |
Analysis and applications of the Locally Competitive Algorithm. |
|
2022/02/23 |
Kai Chen |
The role of population structure in computations through neural dynamics. |
|
2022/02/28 |
Mingzhang Wang |
Larger GPU-accelerated brain simulations with procedural connectivity. |
|
2022/03/02 |
Ziling Wang |
The striatum organizes 3D behavior via moment-to-moment action selection. |
|
2022/03/07 |
Licheng Zou |
Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks (1). |
|
2022/03/09 |
Licheng Zou |
Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks (2). |
|
2022/03/14 |
Zheng Wang |
Random Matrix Methods for Machine Learning: When Theory meets Applications. |
|
2022/03/16 |
Chongming Liu |
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. |
|
2022/03/21 |
Jingyang Ma |
Avoiding catastrophe: active dendrites enable multi-task learning in dynamic environments. |
|
2022/03/23 |
Rong Chen |
The node-similarity distribution of complex networks and it's application in link prediction. |
|
2022/03/28 |
Jingcheng Shi |
Circuit mechanisms for the maintenance and manipulation of information in working memory. |
|
2022/03/30 |
Chongming Liu |
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. |
|
2022/04/06 |
Boran Yang |
Sensory-Motor Cortices Shape Functional Connectivity Dynamics in the Human Brain. |
|
2022/04/11 |
Muhan Ma |
Macroscopic gradients of synaptic excitation and inhibition in the neocortex. |
|
2022/04/13 |
Zheng Wang |
A random matrix approach to neural networks. |
|
2022/04/18 |
Kai Chen |
Organizing recurrent network dynamics by task-computation to enable continual learning. |
|
2022/04/20 |
Licheng Zou |
Mechanisms of distributed working memory in a large-scale network of macaque neocortex. |
|
2022/04/25 |
Ziling Wang |
Untangling stability and gain modulation in cortical circuits with multiple interneuron classes. |
|
2022/04/27 |
Rong Chen |
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. |
|
2022/05/02 |
Jingyang Ma |
Ultrafast Simulation of Large-Scale Neocortical Microcircuitry with Biophysically Realistic Neurons. |
|
2022/05/04 |
Mingzhang Wang |
Training dynamically balanced excitatory-inhibitory networks. |
|
2022/05/13 |
Xuexing Du |
[Project report] Introduction to the neural circuit for locomotion in C.elegans. |
|
2022/05/16 |
Bo Wang |
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units. |
|
2022/05/20 |
Zhenyuan Jin |
Dynamic models of large-scale brain activity. |
|
2022/05/23 |
Kai Chen |
Parametric Control of Flexible Timing Through Low-Dimensional Neural Manifolds (1). |
|
2022/05/27 |
Kai Chen |
Parametric Control of Flexible Timing Through Low-Dimensional Neural Manifolds (2). |
|
2022/06/03 |
Ziling Wang |
Deep brain stimulation in the subthalamic nucleus for Parkinson’s disease can restore dynamics of striatal networks. |
|
2022/06/06 |
Rong Chen |
Spiking Graph Convolutional Networks. |
|
2022/06/10 |
Mingzhang Wang |
Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance. |
|
2022/06/13 |
Jingcheng Shi |
[Project report] The study of working memory mechanisms based on recurrent neural networks. |
|
2022/06/17 |
Chongming Liu |
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. |
|
2022/06/20 |
Bo Wang |
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. |
|
2022/07/08 |
Xuexing Du |
Can we reverse-engineer the simple brain of a tiny worm?. |
|
2022/07/11 |
Licheng Zou |
A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex. |
|
2022/07/15 |
Zheng Wang |
Reservoirs Learn to Learn. |
|
2022/07/19 |
Kai Chen |
Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1. |
|
2022/07/22 |
Chongming Liu |
Backpropagation Neural Tree. |
|
2022/08/02 |
Jingcheng Shi |
'Activity-silent' working memory in prefrontal cortex: a dynamic coding framework. |
|
2022/08/09 |
Muhan Ma |
[Project report] The large scale dynamical model of the macaque cortex. |
|
2022/08/12 |
Ziling Wang |
Learning prediction error neurons in a canonical interneuron circuit. |
|
2022/08/19 |
Bo Wang |
Coding schemes and training methods of SNNs. |
|
2022/08/23 |
Jingyang Ma |
Dendritic Computing: Branching Deeper into Machine Learning. |
|
2022/08/26 |
Xuexing Du |
OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans. |
|
2022/08/30 |
Mingzhang Wang |
Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks. |
|
2022/09/09 |
Zhenyuan Jin |
Microscopic theory of intrinsic timescales in spiking neural networks. |
|
2022/09/14 |
Kai Chen |
Emergent reliability in sensory cortical coding and inter-area communication. |
|
2022/09/16 |
Chongming Liu |
Neural network models of decision making. |
|
2022/09/21 |
Boran Yang |
Computational Modeling of EEG and fMRI Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia. |
|
2022/09/23 |
Zheng Wang |
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. |
|
2022/09/28 |
Jingcheng Shi |
Meta-learning synaptic plasticity and memory addressing for continual familiarity detection. |
|
2022/10/04 |
Zhenyuan Jin |
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit. |
|
2022/10/07 |
Bo Wang |
The techniques of Noise Injection for neural network training. |
|
2022/10/12 |
Ziling Wang |
Sequential and efficient neural-population coding of complex task information. |
|
2022/10/14 |
Xuexing Du |
How do neurons increase their robustness to noise perturbations. |
|
2022/10/19 |
Mingzhang Wang |
Effects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model. |
|
2022/10/21 |
Kai Chen |
Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. |
|
2022/10/26 |
Chongming Liu |
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. |
|
2022/11/02 |
Jingyang Ma |
A synaptic learning rule for exploiting nonlinear dendritic computation. |
|
2022/11/04 |
Boran Yang |
Functional network organization of the human brain. |
|
2022/11/09 |
Zheng Wang |
Task representations in neural networks trained to perform many cognitive tasks. |
|
2022/11/11 |
Jingcheng Shi |
Flexible multitask computation in recurrent networks utilizes shared dynamical motifs. |
|
2022/11/16 |
Zhenyuan Jin |
Spatialtemporal patterns of adaptation-induced slow oscillations in a whole brain model of slow-wave sleep. |
|
2022/11/18 |
Bo Wang |
Predictive learning as a network mechanism for extracting low-dimensional latent space representations. |
|
2022/11/23 |
Ziling Wang |
Cell-type-specific population dynamics of diverse reward computations. |
|
2022/11/25 |
Xuexing Du |
Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans. |
|
2022/11/30 |
Mingzhang Wang |
Closed-form continuous-time neural networks. |
|
2022/12/03 |
Kai Chen |
Extracting computational mechanisms from neural data using low-rank RNNs. |
|
2022/12/07 |
Chongming Liu |
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. |
|
2022/12/09 |
Jingyang Ma |
The Forward-Forward Algorithm: Some Preliminary Investigations. |
|
2022/12/14 |
Yeqiang Liao |
|
|
2022/12/16 |
Licheng Zou |
Several papers in decision-making. |
|
2022/12/30 |
Xuexing Du |
Energy-efficient network activity from disparate circuit parameters. |
|
2023/01/06 |
Kai Chen |
Flexible selection of task-relevant features through population gating. |
|
2023/01/31 |
Shouwei Luo |
|
|
2023/02/03 |
Zhenyuan Jin |
Multimodal analysis demonstrating the shaping of functional gradients in the marmoset brain. |
|
2023/02/09 |
Chongming Liu |
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?. |
|
2023/02/13 |
Zheng Wang |
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning. |
|
2023/02/16 |
Jingyang Ma |
Using single neuron model to predict the spike time and its applications. |
|
2023/02/20 |
Bo Wang |
Brain-inspired chaotic backpropagation for MLP. |
|
2023/02/23 |
Maokai Zhan |
Redefining the connectome: A multi-modal, asymmetric, weighted,and signed description of anatomical connectivity. |
|
2023/02/27 |
Ziling Wang |
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications. |
|
2023/03/02 |
Yixiao Feng |
Scaling of sensory information in large neural populations shows signatures of information-limiting correlations. |
|
2023/03/06 |
Rong Chen |
A Large-Scale High-Density Weighted Structural Connectome of the Macaque Brain Acquired by Predicting Missing Links. |
|
2023/03/09 |
Licheng Zou |
Flexible categorization in perceptual decision making. |
|
2023/03/16 |
Yeqiang Liao |
Fast algorithms for simulation of dynamics based on the bilinear dendritic integration rule. |
|
2023/03/20 |
Mingzhang Wang |
Functional Implications of Dale's Law in Balanced Network Dynamics and Decision Making. |
|
2023/03/23 |
Xuexing Du |
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. |
|
2023/03/29 |
Kai Chen |
A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making. |
|
2023/04/03 |
Boran Yang |
Multitask representations in the human cortex transform along a sensory-to-motor hierarchy. |
|
2023/04/06 |
Yixiao Feng |
Scaling of sensory information in large neural populations shows signatures of information-limiting correlations. |
|
2023/04/10 |
Shouwei Luo |
Dendritic Self-Organizing Maps for Continual Learning. |
|
2023/04/13 |
Zhenyuan Jin |
Specificity and robustness of long-distance connections in weighted, interareal connectomes. |
|
2023/04/17 |
Chongming Liu |
Quadratic neural network: a brain-inspired artificial intelligence model. |
|
2023/04/20 |
Zheng Wang |
Reservoir Computing Beyond Memory-Nonlinearity Trade off. |
|
2023/04/24 |
Xiaoyu Chen |
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation. |
|
2023/05/04 |
Ziling Wang |
Representational geometry of perceptual decisions in the monkey parietal cortex. |
|
2023/05/08 |
Licheng Zou |
Network mechanisms underlying representational drift in area CA1 of hippocampus. |
|
2023/05/18 |
Jiayue Yu |
Undergraduate Project : Using recurrent neural network to train the delay match sample task. |
|
2023/06/05 |
Jingyang Ma |
A brain-inspired computational model for spatio-temporal information processing. |
|
2023/06/15 |
Mingzhang Wang |
Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits. |
|
2023/06/26 |
Xiu Xin |
A model-free approach which was developed to detect temporal change-point in time series. |
|
2023/07/05 |
Yixiao Feng |
Mapping functional brain networks from the structural connectome: Relating the series expansion and rife mode approaches. |
|
2023/07/10 |
Xuexing Du |
Flexible and efficient simulation-based inference for models of decision-making. |
|
2023/07/13 |
Zhankai Mao |
Noise improves the association between effects of local stimulation and structural degree of brain networks. |
|
2023/07/17 |
Zhenyuan Jin |
A Tweaking Principle for Executive Control: Circuit Mechanism for Rule-Based Task Switching and Conflict Resolution. |
|
2023/08/14 |
Chongming Liu |
Low-dimensional models of neural population activity in sensory cortical circuits. |
|
2023/08/17 |
Xiaoyu Chen |
Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain. |
|
2023/09/04 |
Zheng Wang |
[project report] The role of recurrent matrix in reservoir computing. |
|
2023/09/07 |
Ziling Wang |
Learnable latent embeddings for joint behavioral and neural analysis. |
|
2023/09/12 |
Boran Yang |
Geometric constraints on human brain function. |
|
2023/09/13 |
Shouwei Luo |
Structured cerebellar connectivity supports resilient pattern separation. |
|
2023/09/25 |
Chongming Liu |
Some papers about the training algorithm of spiking neural networks. |
|
2023/09/27 |
Jiayue Yu |
Neuronal wiring diagram of an adult brain. |
|
2023/10/10 |
Jingyao Zhang |
Bifurcation in space: Emergence of function modularity in the neocortex. |
|
2023/10/30 |
Lishuo Zhang |
Harvesting random embedding for high-frequency change-point detection in temporal complex systems. |
|
2023/11/01 |
Jialin Duan |
|
|
2023/11/06 |
Mingzhang Wang |
Learning better with Dale's Law: A Spectral Perspective. |
|
2023/11/15 |
JiaHua Xiang |
Reconstructing the Mind's Eye:fMRI-to-Image with Contrastive Learning and Diffusion Priors. |
|
2023/11/27 |
Jingyang Ma |
Spiking neurons can discover predictive features by aggregate-label learning. |
|
2023/11/29 |
Jiahan Zhang |
Sensory-motor cortices shape functional connectivity dynamics in the human brain. |
|
2023/12/04 |
Siyuan Shen |
A simple reservoir model of working memory with real values. |
|
2023/12/11 |
Kai Chen |
Theory of coupled neuronal-synaptic dynamics. |
|
2023/12/20 |
Xuexing Du |
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence. |
|
2023/12/25 |
Zhenyuan Jin |
Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. |
|
2024/04/18 |
Lishuo Zhang |
Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction. |
Sussillo and Abbott improved the echo-state network (ESN) with FORCE algorithm, which is more robust again noise and perturbations. They also provided the analysis of train dynamics and reverse-engineering of network dynamics for reservoir network generating coherent patterns.