Créer un compteSe connecter

Recherches récentes

Aucune recherche récente

Options de recherche

Disponible uniquement lorsque vous êtes connecté.
mastouille.fr est l'un des nombreux serveurs Mastodon indépendants que vous pouvez utiliser pour participer au fédiverse.
Mastouille est une instance Mastodon durable, ouverte, et hébergée en France.

Administré par :

Statistiques du serveur :

594
comptes actifs

mastouille.fr: À proposAnnuaire des profilsPolitique de confidentialité

Mastodon: À proposTélécharger l’applicationRaccourcis clavierVoir le code sourcev4.3.4

#auditory

0 message0 participant0 message aujourd’hui
A répondu dans un fil de discussion
Public
T. T. Perry

@erictopol Eh, this is not particularly persuasive on it's own:

"Secondly, due to data restrictions, this study did not include audiological data such as pure tone thresholds or speech audiometry of the diagnosed patients."

I don't put a great deal of trust into studies that rely on restrospective analysis of diagnostic codes.

#Auditory#Audiology#COVID
Public
Dan Goodman

New preprint on our "collaborative modelling of the brain" (COMOB) project. Over the last two years, a group of us (led by @marcusghosh) have been working together, openly, online, with anyone free to join, on a computational neuroscience research project

biorxiv.org/content/10.1101/20

This was an experiment in a more bottom up, collaborative way of doing science, rather than the hierarchical PI-led model. So how did we do it?

We started from the tutorial I gave at @CosyneMeeting 2022 on spiking neural networks that included a starter Jupyter notebook that let you train a spiking neural network model on a sound localisation task.

neural-reckoning.github.io/cos

youtube.com/watch?v=GTXTQ_sOxa

Participants were free to use and adapt this to any question they were interested in (we gave some ideas for starting points, but there was no constraint). Participants worked in groups or individually, sharing their work on our repository and joining us for monthly meetings.

The repository was set up to automatically build a website using @mystmarkdown showing the current work in progress of all projects, and (later in the project) the paper as we wrote it. This kept everyone up to date with what was going on.

comob-project.github.io/snn-so

We started from a simple feedforward network of leaky integrate-and-fire neurons, but others adapted it to include learnable delays, alternative neuron models, biophysically detailed models, incorporated Dale's law, etc.

We found some interesting results, including that shorter time constants improved performance (consistent with what we see in the auditory system). Surprisingly, the network seemed to be using an "equalisation cancellation" strategy rather than the expected coincidence detection.

Ultimately, our scientific results were not incredibly strong, but we think this was a valuable experiment for a number of reasons. Firstly, it shows that there are other ways of doing science. Secondly, many people got to engage in a research experience they otherwise wouldn't. Several participants have been motivated to continue their work beyond this project. It also proved useful for generating teaching material, and a number of MSc projects were based on it.

With that said, we learned some lessons about how to do this better, and yes, we will be doing this again (call for participation in September/October hopefully). The main challenge will be to keep the project more focussed without making it top down / hierarchical.

We believe this is possible, and we are inspired by the recent success of the Busy Beaver challenge, a bottom up project of mathematics amateurs that found a proof to a 40 year old conjecture.

quantamagazine.org/amateur-mat

We will be calling for proposals for the next project, engaging in an open discussion with all participants to refine the ideas before starting, and then inviting the proposer of the most popular project to act as a 'project lead' keeping it focussed without being hierarchical.

If you're interested in being involved in that, please join our (currently fairly quiet) new discord server, or follow me or @marcusghosh for announcements.

discord.gg/kUzh5MHjVE

I'm excited for a future where scientists work more collaboratively, and where everyone can participate. Diversity will lead to exciting new ideas and progress. Computational science has huge potential here, something we're also pursuing at @neuromatch.

Let's make it happen!

Diagram showing process from starting material to group/solo research, online workshops and writing together.
Neural network model from audio signal to left/right ears, delay lines to auditory nerve fibres, hidden layer of LIF neurons, output layer of non-spiking neurons and arg max decision.
Diagram of weight matrices showing equalisation cancellation structure.
#neuroscience#computationalscience#computationalneuroscience
Public
T. T. Perry

Research I contributed to is being presented today at the Meeting of the Acoustical Society of America in Ottawa.

"A Spatial Digit Task for assessing binaural function in individuals with hearing loss"

Brungart, Davidson, Clark, and Perry, 2024.

"the SDT proves valuable for identifying individuals struggling using ITD cues to segregate and localize simultaneously-presented speech signals."

#Auditory#Hearing#Acoustics
ExplorerFlux en direct
À propos