3 citations · 4 across the 6 of their papers we have counts for
6 papers
Mean-field analysis of a neural network with stochastic STDP
Pascal Helson, Etienne Tanré, Romain Veltz
Analysing biological spiking neural network models with synaptic plasticity has proven to be challenging both theoretically and numerically. In a network with N all-to-all connecte…
Pursuit of biomarkers of brain diseases: Beyond cohort comparisons
Pascal Helson, Arvind Kumar
Despite the diversity and volume of brain data acquired and advanced AI-based algorithms to analyze them, brain features are rarely used in clinics for diagnosis and prognosis. Her…
Renormalization group analysis of noisy neural field
Jie Zang, Pascal Helson, Shenquan Liu +2
Neurons in the brain show great diversity in their individual properties and their connections to other neurons. To develop an understanding of how neuronal diversity contributes t…
Structural constraints on the emergence of oscillations in multi-population neural networks
Jie Zang, Shenquan Liu, Pascal Helson +1
Oscillations arise in many real-world systems and are associated with both functional and dysfunctional states. Whether a network can oscillate can be estimated if we know the stre…
A Mathematical Analysis of Memory Lifetime in a simple Network Model of Memory
Pascal Helson
We study the learning of an external signal by a neural network and the time to forget it when this network is submitted to noise. The presentation of an external stimulus to the r…
A new stochastic STDP Rule in a neural Network Model
Pascal Helson
Thought to be responsible for memory, synaptic plasticity has been widely studied in the past few decades. One example of plasticity models is the popular Spike Timing Dependent Pl…