Pleased to share a theory of neural coding in @SciReports. We show that cortical spike time patterns are time-warped (stretched/compressed) on single trials. Time-warped multi-neuron single spike patterns may be an atomic unit of cortical representation. https://t.co/vlsldARV4u
Affiliated with @oftnai, this international journal invites researchers to publish their work on theoretical neuroscience supported by experimental data with a focus on new technologies.
#PublishYourResearch @ https://t.co/3oDsrylEif
#neuralsystem#ArtificialIntelligence
Join us for an afternoon of vision talks at the @OxVisGroup fall meeting.
When? 14 October 2019, 2-5 pm
Where? @PembrokeOxford, University of Oxford
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DRUMROLL PLEASE 🎉 Our 2019 Christmas Lecturer is the one and only @FryRsquared!
In the ‘Secrets and lies’ #XmasLectures, Hannah will unveil the hidden numbers, rules and patterns that govern our daily lives.
Read all about it at @guardianscience - https://t.co/F91vbhQ0y0
“Our study shows touch information is coded as very precise spike patterns and the exact pattern is modulated by the network activity,” says Bartosz Telenczuk @CNRS. Read more from this @SfNJournals study: https://t.co/IpZmUuiH6k
New publication: Self-organising coordinate transformation with peaked and monotonic gain modulation in the primate dorsal visual pathway https://t.co/cYwodHzpvS - https://t.co/yUSyc9Y2rL #biorxiv_neursci#openscience#PLoS
Upcoming @OxVisGroup Meeting:
Monday 8th October 2018, 2-5 pm
Harold Lee Room, Pembroke College (@PembrokeOxford)
Exciting list of speakers!
https://t.co/6chE3ExmGV
Self-organising coordinate transformation with peaked and monotonic gain modulation in the primate dorsal visual pathway https://t.co/zuHzIumkyU #biorxiv_neursci
Incredible AI breakthroughs by our partner Dr Simon Stringer and OFTNAI are discussed in The Times today / Intelligent machines are starting to catch up
https://t.co/CgAYMmWUqL
Higgins, Stringer, Schnupp, "A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning", Neural Computation, doi: 10.1162/neco_a_01085, https://t.co/gaoh7yZUXO