Connectionists: World wide VVTNS series (fifth season): Wednesday, March 19, 2025, at 11:00 am EDT| Marcelo Rozenberg, CNRS, Paris

David Hansel dhansel0 at gmail.com
Sun Mar 16 13:54:08 EDT 2025


[image: VVTNS.png]
https://www.wwtns.online
<https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.online>
-
on twitter: wwtns at TheoreticalWide

You are cordially invited to the lecture given by

Marcelo Rozenberg

CNRS, Paris

Dynamics of neural motifs realized with a minimal memristive neuro-synaptic
unit


The lecture will be held on zoom on Wednesday, March 19, 2025, at *11:00 am
EDT *
To receive the link: https://www.wwtns.online/register-page

*Note that the USA moved to Summer time. *
*On Wednesday, March 19, 11am EDT = 4 pm CET = 3 pm GMT*

*Abstract: *The  use of electronic circuits to model neural systems goes
back to C. Mead and is present in models, from leaky-integrate-and-fire to
Hodking-Huxley. Simulating neural network with analog hardware is
attractive: it allows to implement neurocomputations in real time without
discretization approximations, it has perfect simulation-time scaling with
system size,  and it provides ready-to-deploy neuromorphic circuit for
applications. There are implementations in CMOS technology, however, they
are complex, require sophisticated fabrication facilities and, most
important, suffer from significant device mismatch. In a radically
different approach, based on the concept of memristors, we introduce a
neuro-synaptic circuit of unprecedented simplicity, with readily available
cheap off-the-shelf electronic components, that can quantitatively
reproduce textbook theoretical neuron and synaptic current models. Our
neuron circuits can avoid the mismatch problem and are easily tuneable at
bio-compatible time-scales. We first introduce a voltage-gated conductance
bursting neuron model that produces spike traces that bare striking
similarity to experimental recordings. We then introduce synaptic current
circuits and show the modularity of our method implementing neurocomputing
primitives of basic network motifs, including CPGs. With this "theoretical
hardware" approach we show: (i) that neuron adaptation and self-excitation
can be viewed as a self-consistent dynamical problem; (ii) that a dynamical
memory can be minimally implemented with a single recursive spiking neuron;
(iii) that an adaptive membrane current reveals a connection between
bursting and the driven harmonic oscillator, perhaps pointing to a neural
correlate of the pendular limb motion. Finally we discuss the limitation of
the approach to networks of mid-size and its potential application for
brain-machine-interfaces, robotics and AI.

*About VVTNS : Launched as the World Wide  Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,**  are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*


ᐧ


-- 
*Il n'y a ni obligation ni pression à traiter ou répondre à ce mail en
dehors des heures de travail*

"В каждой шутке есть доля шутки"

'Life is good ..' (Carl van Vreeswijk, 1962-2022)
---------------------------------------
David Hansel
Directeur de Recherche  au CNRS
Co-Group leader
Cerebral Dynamics Plasticity and Learning lab., CNRS
45 rue des Saints Peres 75270 Paris Cedex 06
Tel (Cell):   +33 607508403 - Fax (33).1.49.27.90.62

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