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DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20350311T030000 RDATE:20351104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20360309T030000 RDATE:20361102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20370308T030000 RDATE:20371101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:73a0ae6dc9a88fea44b065ef6affebdd CATEGORIES:RuCCS Colloquia:Fall 2015 CREATED:20151203T141545 SUMMARY:A scale-invariant neural architecture for cognitive computation (talk recording available) LOCATION:Boston University\, Department of Psychological and Brain Sciences and Cent er for Memory and Brain DESCRIPTION:The Weber-Fechner law is among the oldest quantitative relationships in exp erimental psychology. Neural codes with Weber-Fechner spacing are widely-o bserved in the nervous system, most famously extrafoveal retinal position. We show new evidence suggesting that a neural representation for time in t he rodent hippocampus obeys Weber-Fechner spacing; preliminary evidence sug gests a similar relationship may also hold in the mPFC and striatum. We de scribe a neural mechanism for constructing Weber-Fechner scales. The mecha nism relies on taking the Laplace transform of incoming experience and can be applied to generate scale-invariant representations of time, space and n umber. The apparent ubiquity of Weber-Fechner scales in the brain and the Laplace method for constructing representations of time, space, and number suggest a general framework for cognitive computation. Operations such as translation, convolution, and cross-correlation can be efficiently computed in the Laplace domain, enabling flexible computation on scale-invariant re presentations. Circuits constructed in this way obey properties such as c ompositionality that are challenging for traditional connectionist models. A simple circuit for performing subtraction is demonstrated.\nTo view a re cording of this talk click here (You will need a Rutgers NetID and password ) (https://sakai.rutgers.edu/portal/site/876a56f9-2ad8-41da-b3e7-5bbf71bc34 50/page/0b5b24bb-566f-46db-8259-20ac975ea2d1)\n X-ALT-DESC;FMTTYPE=text/html:
The Weber-Fechner law is among the oldest quantitative relationships in experimental psychology. Neural codes with Weber-Fechner spacing are widel y-observed in the nervous system, most famously extrafoveal retinal positio n. We show new evidence suggesting that a neural representation for time i n the rodent hippocampus obeys Weber-Fechner spacing; preliminary evidence suggests a similar relationship may also hold in the mPFC and striatum. We describe a neural mechanism for constructing Weber-Fechner scales. The me chanism relies on taking the Laplace transform of incoming experience and c an be applied to generate scale-invariant representations of time, space an d number. The apparent ubiquity of Weber-Fechner scales in the brain and t he Laplace method for constructing representations of time, space, and numb er suggest a general framework for cognitive computation. Operations such as translation, convolution, and cross-correlation can be efficiently compu ted in the Laplace domain, enabling flexible computation on scale-invariant representations. Circuits constructed in this way obey properties such a s compositionality that are challenging for traditional connectionist model s. A simple circuit for performing subtraction is demonstrated.
To view a r ecording of this talk click here (You will need a Rutgers NetID and passwor d)
CONTACT:Dr. Marc Howard X-EXTRAINFO:Dr. Marc Howard (http://people.bu.edu/marc777/) DTSTAMP:20240328T174615 DTSTART;TZID=America/New_York:20151006T130000 DTEND;TZID=America/New_York:20151006T140000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR