At #BernsteinConference heated debate on WM mechanisms. I love that this is still far to be settled!

trained RNNs from A.Compte aligns with fruitfly direction WM data from K.Nagel: it is persistent.

Large scale recording in macaque V1 in T.Moore Lab: it is not.

#neuroskyence what's your take?

And concluding with a beautiful thermodynamics of learning:

The correct learning rate depends on the noise of the training set (sigma eta)!

And reminding the great neuroscientist **and middle east pacifist** Daniel Amit!

So cool to walk from Ising models to recurrent network dynamics at the Braitenberg prize ceremony of Sara Solla! At #bernstein conference #compneurosky

The library strikes a balance between creating new models and composing them in fairly complex networks.

If you would like some specific feat and cannot achieve it, just contact me and we'll find a way together!

Hey #neuroskyence #compneurosky

I made this interactive tool for showing the phase planes of 2D neuron models to studs!

Have fun :)

github.com/JuliaSNN/Com...

What a time when you could title your paper like this!

It doesn't speak about Julia?
For real?

I couldn't read to the end because of the paywall :(

And, lo and behold, neurons with dendrites don't leverage non-linearity to echo network's bistability (e.g., as observed in anesthetized animals) but this cellular mechanism is necessary to enter #Up-Down states under asynchronous activity!

We also make a methodological contribution by devising a stochastic process with parameterized fluctuation size. When sampling spikes from this process, we obtain spike trains with a determined firing rate and inter-spike interval coefficient of variation

The study reports that when in the E/I balanced state, neurons with non-linear dendritic integration (aka #NMDARs) show:
- geometry-dependent selectivity to input frequency;
- increased spike-activity upon input fluctuations;
- bimodality in the all-point-histogram, or UpDown states!

Are #Up-down states all about network dynamics?

In a recently revised preprint with @rcfduarte.bsky.social, H. Fritz, and P. Hagoort, we explore the role of nonlinear #dendrites as coincidence detectors and amplifiers of network fluctuations.

www.biorxiv.org/content/10.1...