Filters








4,315 Hits in 6.2 sec

A Probabilistic, Distributed, Recursive Mechanism for Decision-making in the Brain [article]

Javier A Caballero, Mark D Humphries, Kevin N Gurney
2016 bioRxiv   pre-print
Here we characterize its essential composition, using as a framework a novel recursive Bayesian algorithm that makes decisions based on spike-trains with the statistics of those in sensory cortex (MT).  ...  Our single-equation algorithm is probabilistic, distributed, recursive, and parallel.  ...  Acknowledgments We thank Anne Churchland, Roozbeh Kiani, Michael Shadlen, Long Ding, and Joshua Gold for sharing their experimental data and the Humphries lab (Abhinav Singh, Mathew Evans, and Silvia Maggi  ... 
doi:10.1101/036277 fatcat:qncnakln5bhhhizrrzjoxuguhm

A probabilistic, distributed, recursive mechanism for decision-making in the brain

Javier A. Caballero, Mark D. Humphries, Kevin N. Gurney, Jean Daunizeau
2018 PLoS Computational Biology  
Acknowledgments We thank Anne Churchland, Roozbeh Kiani, Michael Shadlen, Long Ding, and Joshua Gold for sharing their experimental data and the Humphries lab (Abhinav Singh, Mathew Evans, and Silvia Maggi  ...  ), Rafal Bogacz, and Long Ding for discussions.  ...  Why implement a recursive procedure in the brain?  ... 
doi:10.1371/journal.pcbi.1006033 pmid:29614077 pmcid:PMC5882111 fatcat:ud566igmozb4hexxvfj6mdjdn4

Action video games as exemplary learning tools

Bavelier Daphne
2010 Frontiers in Neuroscience  
Inference A Bayes' optimal solution for evidence accumulation -A--• Computing the posterior distribution given all activity patterns from MT up to the current time in a recursive fashion: Posterior at  ...  model: -Computing the posterior distribution given all activity patterns from MT up to the current time in a recursive fashion: Computing the posterior distribution given all activity patterns from MT  ... 
doi:10.3389/conf.fnins.2010.03.00042 fatcat:e4maawsekvhxvlckukdwzrc5ri

Context-Aware Recursive Bayesian Graph Traversal in BCIs [article]

Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
2017 arXiv   pre-print
based decision-making mechanism.  ...  In this study we proposed two probabilistic graphical models (PGMs), using context information and previously observed EEG evidences to estimate a probability distribution over the decision space in graph  ...  to significant delay in decision making.  ... 
arXiv:1703.02938v1 fatcat:5ickble5rve65ebyetgis6462u

Confidence as Bayesian Probability: From Neural Origins to Behavior

Florent Meyniel, Mariano Sigman, Zachary F. Mainen
2015 Neuron  
This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability  ...  Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints.  ...  It was also supported in part by a grant from the Simons Foundation (325057) to Z.F.M.  ... 
doi:10.1016/j.neuron.2015.09.039 pmid:26447574 fatcat:dxr7r2x6uncernsao24mxjomji

Computational rationality: A converging paradigm for intelligence in brains, minds, and machines

S. J. Gershman, E. J. Horvitz, J. B. Tenenbaum
2015 Science  
Advances include the development of representations and inferential procedures for large-scale probabilistic inference and machinery for enabling reflection and decisions about tradeoffs in effort, precision  ...  After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared  ...  systemsto cut through the complexity of probabilistic inference and decision-making (9) .  ... 
doi:10.1126/science.aac6076 pmid:26185246 fatcat:vpr6ke7czvhdpa4dnebvize7yq

Recursive Bayesian Coding for BCIs

Matt Higger, Fernando Quivira, Murat Akcakaya, Mohammad Moghadamfalahi, Hooman Nezamfar, Mujdat Cetin, Deniz Erdogmus
2017 IEEE transactions on neural systems and rehabilitation engineering  
We offer a recursive Bayesian decision framework which incorporates context prior distributions (e.g. language model priors in spelling applications), accounts for varying brain symbol accuracy and is  ...  Decision trees, as exemplified in [10] or [11], also offer the ability to choose among a large dictionary of task symbols with few brain symbols.  ...  A probability threshold of α = .85 was used to make decisions in the recursive codes; no threshold was used in decision tree codes.  ... 
doi:10.1109/tnsre.2016.2590959 pmid:27416602 pmcid:PMC5536189 fatcat:loliworwq5bkbi53waj3kf5lwm

Statistically optimal perception and learning: from behavior to neural representations

József Fiser, Pietro Berkes, Gergő Orbán, Máté Lengyel
2010 Trends in Cognitive Sciences  
sensory stimuli are interpreted in terms of the objects and features that gave rise to them [5] .  ...  However, because sensory input in general is noisy and ambiguous, there is usually a range of different possible  ...  Questions for future research Exact probabilistic computation in the brain is not feasible.  ... 
doi:10.1016/j.tics.2010.01.003 pmid:20153683 pmcid:PMC2939867 fatcat:koqqj3n7xbdzrjzw44bvsvroui

Probabilistic models of cognition: exploring representations and inductive biases

Thomas L. Griffiths, Nick Chater, Charles Kemp, Amy Perfors, Joshua B. Tenenbaum
2010 Trends in Cognitive Sciences  
that the mind executes to produce this solution; and a 'hardware' level specifying how those processes are instantiated in the brain.  ...  Posterior distribution: a probability distribution over hypotheses reflecting the learner's degree of belief in each hypothesis in light of the information provided by the observed data.  ...  For instance, Pouget, Beck, Ma and colleagues have studied how to implement Bayesian parameter estimation and decision-making using probabilistic population codes in networks of spiking neurons [54] .  ... 
doi:10.1016/j.tics.2010.05.004 pmid:20576465 fatcat:rhtsthe6pncu3dldvyf67wdpfu

Letting structure emerge: connectionist and dynamical systems approaches to cognition

James L. McClelland, Matthew M. Botvinick, David C. Noelle, David C. Plaut, Timothy T. Rogers, Mark S. Seidenberg, Linda B. Smith
2010 Trends in Cognitive Sciences  
that the mind executes to produce this solution; and a 'hardware' level specifying how those processes are instantiated in the brain.  ...  Posterior distribution: a probability distribution over hypotheses reflecting the learner's degree of belief in each hypothesis in light of the information provided by the observed data.  ...  For instance, Pouget, Beck, Ma and colleagues have studied how to implement Bayesian parameter estimation and decision-making using probabilistic population codes in networks of spiking neurons [54] .  ... 
doi:10.1016/j.tics.2010.06.002 pmid:20598626 pmcid:PMC3056446 fatcat:jvoodhp3c5euhacn77yt6d2r5e

Nonlinear Probabilistic Predictive Neural Computations

Robert Skopec
2012 NeuroQuantology  
The modern neuroscience demands a mechanism for the theory of mind.  ...  Summarizing that human brain is working due the computational processes of probabilistically calculated predictions of reality.  ...  Acknowledgments The author gratefully acknowledge the assistance of Dr. Marta Ballova, Ing. Konrad Balla, Livuska Ballova, and Ing. Jozef Balla.  ... 
doi:10.14704/nq.2012.10.2.554 fatcat:t7jbhj2cfbbm5ndlwy6pouvqvu

A Revision of Coding Theory for Learning from Language

2004 Electronical Notes in Theoretical Computer Science  
A differentiation 1 [1] has shown that Zipf's law is met at least by strings of independently tossed letters and spaces. [19] reports on change in the law's exponent from −1 to −3 for ranks ≈ 10 4 , which  ...  Elements of a quantitative-symbolic theory of human language communication based on power-law entropic sublinearity are induced from independent results in quantitative linguistics, statistical NLP, information  ...  [8] proposes the same mechanism also for inconscious brain processing in the real time. How to forget the past?  ... 
doi:10.1016/s1571-0661(05)82574-5 fatcat:t4r6hquy6zc43ew5v7hx5eucey

Neural Basis of Strategic Decision Making

Daeyeol Lee, Hyojung Seo
2016 Trends in Neurosciences  
Social decision making In theories of decision making, utilities and values play a central role.  ...  This might arise partly from the limitations in cognitive abilities necessary for recursive reasoning about the behaviors of others.  ...  Hackjin Kim and Sunhae Sul for their helpful discussion. This work was supported by the National Institute of Health (R01 DA029330 and R21 MH104460).  ... 
doi:10.1016/j.tins.2015.11.002 pmid:26688301 pmcid:PMC4713315 fatcat:5lwem3xpknhqxppywo5vfyw2mi

Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits

John Palmer, Adam Keane, Pulin Gong, Jean Daunizeau
2017 PLoS Computational Biology  
In this study, we propose a novel neural mechanism for implementing spatial decision making in cued-choice tasks.  ...  Recent neural ensemble recordings have established a link between goal-directed spatial decision making and internally generated neural sequences in the hippocampus of rats.  ...  in the spatial decision making circuit.  ... 
doi:10.1371/journal.pcbi.1005669 pmid:28759562 pmcid:PMC5552356 fatcat:m6tybwpnwbckjdjlyemtnnmbx4

Active recursive Bayesian inference using Rényi information measures [article]

Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus
2021 arXiv   pre-print
The proposed active RBI framework is applied to the trajectory of the posterior changes in the probability simplex that provides a coordinated active querying and decision making with specified confidence  ...  Recursive Bayesian inference (RBI) provides optimal Bayesian latent variable estimates in real-time settings with streaming noisy observations.  ...  INTRODUCTION Recursive Bayesian inference (RBI) is a general probabilistic framework to estimate the unknown probability distribution of latent states through a recursive querying process over time.  ... 
arXiv:2004.03139v2 fatcat:gtjwqg2pija25l3qvgkhf45ni4
« Previous Showing results 1 — 15 out of 4,315 results