Cortical Specializations Underlying Fast Computations
نویسندگان
چکیده
منابع مشابه
Computations underlying sensorimotor learning.
The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning fr...
متن کاملMental computations underlying morphosyntax acquisition
Research in theoretical linguistics has shown that human languages require abstract and highly detailed grammatical representations. However, we understand surprisingly little about the mechanisms through which these representations are acquired. What kinds of statistical relationships would learners need to compute to construct representations like those posited by linguistic theory? We create...
متن کاملFast Khovanov Homology Computations
We introduce a local algorithm for Khovanov Homology computations — that is, we explain how it is possible to “cancel” terms in the Khovanov complex associated with a (“local”) tangle, hence canceling the many associated “global” terms in one swoosh early on. This leads to a dramatic improvement in computational efficiency. Thus our program can rapidly compute certain Khovanov homology groups t...
متن کاملFast Matrix Polynomial Computations
Pour une matrice polynomiale P(x) de degr e d dans Mn;n(Kx]), o u K est un corps commutatif, une r eduction a la forme normale d'Hermite peut ^ etre calcul ee en O ~ (M(nd)) op erations arithm etiques, si M(n) est le co^ ut du produit de deux matrices n n sur K. De plus, une telle r eduction peut ^ etre obtenue en temps parall ele O(log +1 (nd)) en utilisant O(L(nd)) processeurs, si le probl em...
متن کاملCortical computations via transient attractors
The ability of sensory networks to transiently store information on the scale of seconds can confer many advantages in processing time-varying stimuli. How a network could store information on such intermediate time scales, between typical neurophysiological time scales and those of long-term memory, is typically attributed to persistent neural activity. An alternative mechanism which might all...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Neuroscientist
سال: 2015
ISSN: 1073-8584,1089-4098
DOI: 10.1177/1073858415571539