This work bridges theoretical math with practical NN implementation, offering design principles for signal processing and computational neuroscience. #NeuroSky #AcademicSky #MachineLearning #neuralnetworks 3/3

We derived three fundamental theorems characterizing stability and resonance. Simulations of a 50-neuron network showed excellent agreement with theory, revealing predictable scaling relationships for synchronization. 2/3

Synchronization in Hybrid Feedforward-Recurrent Neural Networks with Stochastic Temporal Modulation This paper presents a comprehensive theoretical and computational investigation of oscillatory behavior in hybrid feedforward-recurrent neural networks under stochastic modulation. We establish a rigo...

Excited to share my new paper: "Synchronization in Hybrid Feedforward-Recurrent Neural Networks with Stochastic Temporal Modulation" in IEEE ICICNCT! 🧠

We explore how hybrid NNs maintain stability even under stochastic noise.

Link: ieeexplore.ieee.org/document/112... 🧵 1/3

Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition - Scientific Reports This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. The model emphasizes the prioritization of o...

Just published: Modeling Visual Working Memory Using Recurrent OCOS Networks
My new paper features a neuro-inspired, hierarchical VWM model—featuring distance-dependent inhibition, on‑center/off‑surround dynamics, and feedback-mediated cross-talk.

link.springer.com/article/10.1...

Temporal Dynamics of Human Perceptual Averaging Using a Neural Network Model Examining visual world and calculating the corresponding ensemble measures or perceptual averaging, is vital in ensuring a unitary perceptual world in cognitive agents. Although applying filters to th...

One of my works on computational modelling of perceptual averaging was recently published in Springer LNNS (link.springer.com/chapter/10.1...). It expands on my work on modelling visual sense of numbers using Recurrent RNNs. #Cognition #PerceptualAveraging #NABIC23

Love it when bookshops or libraries arrange their books appropriately...

Exploring Neural Dynamics in a Recurrent On-Center Off-Surround Network: Insights from a Go/No-Go Task Simulation Understanding decision-making mechanisms is crucial in neuroscience. Here, we introduce a computational model employing recurrent on-center off-surround neural networks to simulate neural activity dur...

One of my recent studies introduces a computational model utilizing recurrent on-center off-surround neural networks to simulate neural activity during go/no-go tasks involving numerosity based stimuli (ieeexplore.ieee.org/document/107...).

online vision courses, free, available at zhaoping.thinkific.com , including
5 sub-courses from "Introduction to vision" to computational vision topics. They have been used for my teaching, you may mix and match them for graduate courses or self study. Comments welcome

You can try out the experiment for yourself, here:

www.reshannereeder.com/demos#:~:tex...

Non-visual spatial strategies are effective for maintaining precise information in visual working memory Visual working memory content is commonly thought to be composed of a precise visual representation of stimulus information (e.g., color, shape). Neve…

Thank you for reading. If you are interested in learning more about this research, here is a link to the open access paper, where Fyo has been immortalized in Figure 1:

www.sciencedirect.com/science/arti...

@hakwan.bsky.social Physics students and researchers, apply to ICTP (international center for theoretical physics, Triesta, Italy) spring college, Feb 17-Mar, 14, 2025, to learn about, and have fun with, the physics of complex systems and our brain, indico.ictp.it/event/10821