INFORMAZIONI SU QUESTO EPISODIO
Most neural network models till date have assumed all neurons to be identical, or at least that all neurons within a population are identical. In reality, no two neurons are completely the same.
Is this due to unavoidable "biological noise" that the nervous system has to cope with, or can it be a useful feature included by design?
The guest co-wrote the recent paper "How heterogeneity shapes dynamics and computation in the brain" addressing this question.
Inglese
Stati Uniti
TRASCRIZIONE 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di Theoretical Neuroscience Podcast.
ALTRI EPISODI IN QUESTO PODCAST
Historically, the analysis of neural recordings focused on responses of single neurons recorded by single-contact electrodes. Modern electrodes with multiple electrode contacts can instead record spikes (action potentials) from hundreds of neurons simultaneously.
Manifold analysis of the overall p…
Neurons need particular sodium and potassium concentration gradients across their membranes to function. These gradients are set up by so-called ion pumps which require energy stored in ATP molecules to run.
ATP is the common energy currency in the brain and is produced from nutrients delivered by…
An important discovery that has come out of computational neuroscience, is that cortical neurons in vivo appear to receive so-called balanced inputs.
In the balanced state the excitatory and inhibitory synaptic inputs to a neuron are about equal, and action potentials occur when a fluctuation temp…
Reproducibility is key for scientific progress. If research results cannot be reproduced and trusted, other researchers cannot build on them.
Reproducibility is a challenge also in computational neuroscience, and today's guest has worked on how this can be remedied, for example, through standardiz…
How can computational neuroscience contribute to developing neurotechnology to help people with brain disorders and disabilities?
This was the topic of a panel debate I hosted at the 34th Annual Computational Neuroscience Meeting in Florence in July this year.
Electric or magnetic recording and/o…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Gaute Einevoll, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
MODIFICA
Grazie, ci hai aiutato a mantenere aggiornato il database dei podcast.
