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Interpretable AI workshop, April 3 (Friday), 2020 in NYC. Free event but requires registration. Space is limited! https://interpretable2020.wordpress.com/
#MachineLearningpic.twitter.com/JKaTqeXPCg
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Methods: all analysis of latent space was done using vLGP http://dx.doi.org/10.1162/NECO_a_00953 …. MT ensemble was well described by 4-D latent space. (also
@yuanz271's brilliant work)pic.twitter.com/3a8wpYYPcs
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Furthermore, the choice-correlated variability in the null-space appears much later during the trial, suggesting that this is feedback information from the decision-making process! This information could be useful for learning and adaptation.pic.twitter.com/CT5hROqWpB
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Our analysis suggests that a large portion of choice-correlated variability in MT is in a subspace NOT aligned with the sensory encoding and lives in the *null-space*!pic.twitter.com/KfU7sNcHII
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But it could also be due to feedback, i.e., noisy temporal integration of sensory evidence can be contributing to the apparent variability in MT. Depending on the alignment between the sensory-coding subspace and the choice-correlation, there are several possibilities:pic.twitter.com/q7QfeYVpTI
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Our ensemble analysis revealed that 1-D visual motion is encoded as 1-D subspace at the population level (below). Does the choice-correlation also live solely in this subspace? Maybe it should be, since MT is a “sensory cortex”, and the monkey is nearly “optimal”.pic.twitter.com/RxeQ2MAIr4
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Trial-to-trial variability of single unit spike count in monkey brain area MT is correlated with the animal’s perceptual report in visual motion discrimination tasks [Britten et al. 1996]. Where does this choice-correlation originate from?pic.twitter.com/wqWUvfsgsf
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Fresh on
@bioRxiv. Latent trajectory analysis of MT ensemble spike trains reveals mis-aligned subspaces of stimulus and decision codes.#tweeprint https://www.biorxiv.org/content/10.1101/2019.12.20.884189v1.full … Collaboration with Huk lab.@yuanz271@jcbytspic.twitter.com/O0grpowbPF
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I hope it's not too expensive for the graduate students and postdocs.pic.twitter.com/wtTrIBO8mU
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@paperpile HTTPS issue: http://paperpile.com gives me 34.201.189.153, and the HTTPS certificate is valid on *.thrifttrac.com, not http://paperpile.com . Is it possible that this is the paperpile server issue?pic.twitter.com/CnpByTo25Y
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Guilio Tononi is giving the
@SwartzCompNeuro MIND/BRAIN lecture on Consciousness. Apr 1st at@stonybrooku! It's a free public lecture. https://twitter.com/SBUArtsSciences/status/1110897761338224642 …pic.twitter.com/jefNkit79O
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David Cox's talk last year on predictive coding in
#neuroscience and#machinelearning was super inspiring.https://youtu.be/P0yVuoATjzs -
Rchard Plum gave an amazing talk about sexual selection as true Darwinian theory last week at
@stonybrooku (aesthetics self-sustaining within evolution)https://youtu.be/iSSo67OtCTA -
#COSYNE19 Workshop: Why Spike? Understanding the power and constraints of spiking based computation in biological and artificial neuronal networks https://whyspike.wordpress.com featuring@NeuroNaud,@compneuro_epfl,@hisspikeness and more!#neuromorphic#SNNpic.twitter.com/XVD6gpxSAO
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6/6 It can also recover limit cycles from population V1 spike trains! Looking forward to applying to more neural data!pic.twitter.com/LVGFOy63Nx
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