Nathan Wispinski

AI Research Scientist

[Nathan Wispinski @nathanwispinski]

@cdrawn Dr. Rawn - your PSYC 100, 217, and 218 classes were a big part of why I started on this journey in the first place. Thank YOU!

[Nathan Wispinski @nathanwispinski]

Last week I successfully defended my PhD! 🎉

I am so incredibly grateful to all the amazing people who helped along the way.

[Dept of Psych UAlberta @Psych_UAlberta]

Please join us in congratulating Nathan Wispinski who passed his PhD defense today! (supervisors Drs Chapman & Singhal). Nathan connected AI, animal behaviour and human behaviour in an impressive defense.

🥳Congratulations Nathan! 🥳

@nathanwispinski @movinisthinking

[Nathan Wispinski @nathanwispinski]

Excited for my upcoming PhD defense!

It will also be streamed online - DM for the link.

[Dept of Psych UAlberta @Psych_UAlberta]

Please join us in wishing @nathanwispinski good luck for their Doctoral Presentation 'Adaptive decision making in dynamic environments by artificial and biological agents' Sep 20th 11am MST BS P226. All are welcome! Also on-line ✉️➡️🔗

@ualbertaScience @UofA_Arts @UAlbertaCS

[Nathan Wispinski @nathanwispinski]

In case you missed it, here's a video of my talk at @FoF_seminars!

I had a great time chatting about deep reinforcement learning, foraging, and neuroscience.

[Future of Foraging @FoF_seminars]

The last episode of season 3 is now up on YouTube! Click here to watch Nathan Wispinski (@nathanwispinski) and Paulo Bruno Serafim in an in-depth discussion of deep RL and foraging: https://t.co/zwSodL3OTb

[Laura Grima @LauraGrimaNeuro]

Very excited to be co-organising a foraging conference at @HHMIJanelia for Feb. 2024! There’ll be talks, panels, posters and more. Fees, lodging, etc. all covered. Applications are now open so join us and the 20+ leaders in the field who have already confirmed their attendance!

[Nathan Wispinski @nathanwispinski]

Come see my talk at the of The Future of Foraging season 3 finale!

[Future of Foraging @FoF_seminars]

We're finally coming up to the last episode of this season! On July 11th Nathan Wispinski (@nathanwispinski) and Paulo Bruno Serafim will discuss artificial intelligence and foraging. More info here: https://t.co/jmBHvQztZg

[Nathan Wispinski @nathanwispinski]

@kevinjmiller10 Stellar work, Kevin - congrats!

[Kevin Miller @kevinjmiller10]

Cognitive models of behavior are a key part of neuroscience. But discovering them is hard!

Neural networks are powerful models. But interpreting them cognitively is hard!

We explore automatically learning interpretable models using "Disentangled RNNs"
https://t.co/eoXmqNrkhh

[Nathan Wispinski @nathanwispinski]

@no_reward_for_u Congrats!!

[Nathan Wispinski @nathanwispinski]

My PhD defense is scheduled!
That means I'm officially on the job market.

I'm looking for my next role working with human data, deep learning, and/or reinforcement learning.

If anyone knows of a job opening where I would be a good fit, please send them my way!

[Nathan Wispinski @nathanwispinski]

@zamakany @j_d_davidson Thanks, Ahmed! It's easy to use work that is so stellar - your model is a big influence on how I think about foraging

[Accepted papers at TMLR @TmlrPub]

Adaptive patch foraging in deep reinforcement learning agents

Nathan Wispinski, Andrew Butcher, Kory Wallace Mathewson et al..

Action editor: Blake Richards.

https://t.co/TLXDO1ChVy

#foraging #reinforcement #behavioral

[Nathan Wispinski @nathanwispinski]

Check out our paper on patch foraging in deep reinforcement learning agents - now out in @TmlrOrg with videos!

https://t.co/FGtJgBAdXB

[Nathan Wispinski @nathanwispinski]

Preprint of some work I did while an intern at @DeepMind on deep reinforcement learning agents that learn to patch forage! With stellar coauthors Andrew Butcher, @korymath, @movinisthinking, Matt Botvinick, and @PatrickPilarski. https://t.co/ZhOFH9MocV

[Nicolas Meirhaeghe @nicognitive]

My postdoc paper is out ! https://t.co/nyr0WvMBcx We asked what happens in motor cortex when planning multiple movements in parallel. We asked this question through the lens of the (now not so) recent dynamical systems theory of motor planning. (1/n)

[International Brain Laboratory @IntlBrainLab]

🚨 BIG DATA RELEASE 🚨 We are beyond excited to announce the release of our Brain Wide Map of neural activity during decision making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain 🐭🧠
(1/7)

[Nathan Wispinski @nathanwispinski]

Come see my talk today at #SfN2022 about deep neural nets trained with reinforcement learning, and how they learned to make decisions like primates (and change their mind with new evidence!). https://t.co/1Wu6t0CGZz

[Craig Chapman @movinisthinking]

Here we go #SfN2022! Kicking things off for the ACELab is fabulous work by @nathanwispinski! Talk today (Sat 145pm SDCC1) on decision making through the lens of deep recurrent reinforcement learning. With @scottallanstone, Anthony Singhal and @PatrickPilarski.

[Sashank Pisupati @sashankpisupati]

Really enjoyed writing this piece with @yael_niv on the challenges of lifelong learning, and what studies of LL in biological and artificial systems could potentially learn from each other's successes and failure modes. Thanks to @LindseyDrayton for the invitation & feedback!

[Nathan Wispinski @nathanwispinski]

P.S. if you’re interested in foraging, I highly recommend work by: @nathanieldaw, @FoF_seminars, @zamakany, @ben_hayden

[Nathan Wispinski @nathanwispinski]

Preprint of some work I did while an intern at @DeepMind on deep reinforcement learning agents that learn to patch forage! With stellar coauthors Andrew Butcher, @korymath, @movinisthinking, Matt Botvinick, and @PatrickPilarski. https://t.co/ZhOFH9MocV

[Nathan Wispinski @nathanwispinski]

These artificial agents learn to adapt their foraging behavior to the environment like many animals, approach optimal behavior, and show several similarities to neural recordings from foraging animals!