John Beninger

PhD candidate in computational neuroscience with @Neuronaud and @mossy_fibers, University of Ottawa. Mountain enthusiast.

[John Beninger @jgbeninger]

Interested in short-term plasticity? Our recent findings have just been published! With @Neuronaud @mossy_fibers @j_rossbroich
Online: https://t.co/oJIQbxQGkE
1/10

[Richard Naud @NeuroNaud]

What are serotonin neurons trying to tell the brain? Our work on the question has been so much fun (@JCBeique , @JermiahYCohen, @grossmancooper ). Check out @efharkin_ 's exciting paper
https://t.co/B4N4trwXvb

https://t.co/762ODzWcT0

[Michael Lynn @MichaelBLynn_]

Excited to share our updated preprint characterizing a novel, slow recurrent circuit motif in raphe!

https://t.co/fpez6I2krE

[Amir Zamir @zamir_ar]

How far can a very simple eye go in solving vision tasks? Like a 1-pixel camera?
Humans have one of the greatest eyes in nature, while many animals have significantly simpler eyes and visual systems yet show complex perceptual behavior.

In an interesting project, we find that many computer vision tasks can be solved without a typical camera and with such simple 1-pixel sensors (photoreceptors). We also find that proper design (e.g., where to place the photoreceptors strategically) makes a big difference, so we developed a computational design method to find them.

🌐 https://t.co/IWnjOoEwaR
👁️[Solving Vision Tasks with Simple Photoreceptors Instead of Cameras]
🧵1/n

[OpenAI @OpenAI]

Say hello to GPT-4o, our new flagship model which can reason across audio, vision, and text in real time: https://t.co/MYHZB79UqN

Text and image input rolling out today in API and ChatGPT with voice and video in the coming weeks.

[Emerson F. Harkin @efharkin_]

Interested in serotonin and RL? Drop by poster 77 on Thursday night at #Cosyne2024 to hear about the connection between normative theory and biophysical implementation in the dorsal raphe.

Come for the model, stay for benchmarks that blow CNN models of vision out of the water 💥

[Emerson F. Harkin @efharkin_]

It's tough to adapt to a fast-changing world---unless you're a neuron. 📈

Build an intuition for current- and threshold-based spike frequency adaptation using the generalized integrate and fire neuron model of @neuronaud! 👇

https://t.co/UTQbkbC7tU

[Zoza @ai_zoza]

We’re looking for design partners to help us shape the future of our product. If you’re potentially interested, please DM us or comment below!

[Zoza @ai_zoza]

We’re super excited to announce the launch of Jamix (https://t.co/iQ201GgFkO)! In addition, we’re proud to announce our $3M pre-seed round led by @AudaciousHQ with support from amazing angel investors! Read below for more details about our product.

[John Beninger @jgbeninger]

Are there precisely 5-6 subtypes of synaptic dynamics? What seems clear is that the dictionary of subtypes extends further than facilitation and depression. This added complexity hints at the possibility of multi-level (≥3) multiplexing or multiple high frequency coding schemes.

[John Beninger @jgbeninger]

Interested in short-term plasticity? Our recent findings have just been published! With @Neuronaud @mossy_fibers @j_rossbroich
Online: https://t.co/oJIQbxQGkE
1/10

[John Beninger @jgbeninger]

This prediction only worked when classifying connections recorded in an extracellular calcium concentration of 1.3 mM. At 2 mM this prediction failed suggesting higher calcium may partly homogenize the synapses and obfuscate meaningful cell-identity specific dynamics.
9/10

[Cell Reports @CellReports]

Functional subtypes of synaptic dynamics in mouse and human https://t.co/4PTrQiRYXz

[Richard Naud @NeuroNaud]

Job alert! The Naud lab is looking for a postdoc in neuroAI to work on a project close to Neuromorphic computing. See the job post here: https://t.co/rf5lRXlsru