Timothy D. Hanks

ORCID: 0000-0003-4147-4475
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About
Contact & Profiles
Research Areas
  • Neural and Behavioral Psychology Studies
  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Memory and Neural Mechanisms
  • Decision-Making and Behavioral Economics
  • Cognitive Science and Mapping
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Mental Health Research Topics
  • Schizophrenia research and treatment
  • Data Visualization and Analytics
  • Cardiac electrophysiology and arrhythmias
  • Neuroscience and Neural Engineering
  • Complex Systems and Decision Making
  • Neuroscience and Neuropharmacology Research
  • Ion channel regulation and function
  • Color perception and design
  • Stress Responses and Cortisol
  • Gaze Tracking and Assistive Technology
  • Visual Attention and Saliency Detection

University of California, Davis
2016-2024

Center for Neurosciences
2018-2021

Princeton University
2008-2018

Neuroscience Institute
2014-2018

University of Washington
2006-2011

John Brown University
2007

Decisions about sensory stimuli are often based on an accumulation of evidence in time. When subjects control stimulus duration, the decision terminates when accumulated reaches a criterion level. Under many natural circumstances and laboratory settings, environment, rather than subject, controls duration. In these it is generally assumed that commit to choice at end stream. Indeed, failure benefit from full stream information interpreted as sign imperfect or memory leak. Contrary...

10.1523/jneurosci.4761-07.2008 article EN cc-by-nc-sa Journal of Neuroscience 2008-03-19

Decisions are often based on a combination of new evidence with prior knowledge the probable best choice. Optimal requires about reliability evidence, but in many realistic situations, this is unknown. Here we propose and test novel theory: brain exploits elapsed time during decision formation to combine sensory probability. Elapsed useful because (1) decisions that linger tend arise from less reliable (2) expected accuracy at given depends gathered up point. These regularities allow...

10.1523/jneurosci.5613-10.2011 article EN cc-by-nc-sa Journal of Neuroscience 2011-04-27

Numerous brain regions have been shown to neural correlates of gradually accumulating evidence for decision-making, but the causal roles these in decisions driven by accumulation yet be determined. Here, rats performing an auditory task, we inactivated frontal orienting fields (FOF) and posterior parietal cortex (PPC), two rat cortical that proposed as central decision-making. We used a detailed model decision process analyze effect inactivations. Inactivation FOF induced substantial...

10.7554/elife.05457 article EN cc-by eLife 2015-04-10

Genes Kcna1 and Kcna2 code for the voltage-dependent potassium channel subunits Kv1.1 Kv1.2, which are coexpressed in large axons commonly present within same tetramers. Both contribute to low-voltage-activated current I Kv1, powerfully limits excitability facilitates temporally precise transmission of information, e.g., auditory neurons medial nucleus trapezoid body (MNTB). Kcna1-null mice lacking exhibited seizure susceptibility hyperexcitability MNTB neurons, also had reduced Kv1. To...

10.1152/jn.00640.2006 article EN Journal of Neurophysiology 2007-07-18

A broad range of decision-making processes involve gradual accumulation evidence over time, but the neural circuits responsible for this computation are not yet established. Recent data indicate that cortical regions prominently associated with accumulating evidence, such as posterior parietal cortex and frontal orienting fields, may be directly involved in computation. Which, then, involved? Regions should influence accumulation-based behavior, have a graded encoding accumulated contribute...

10.7554/elife.34929 article EN cc-by eLife 2018-08-24

When searching for a target object, we engage in continuous "look-identify" cycle which use known features of the to guide attention toward potential targets and then decide whether selected object is indeed target. Target information memory (the template or attentional template) typically characterized as having single, fixed source. However, debate has recently emerged over flexibility relational optimal. On basis evidence from two experiments using college students (Ns = 30 70,...

10.1177/09567976211032225 article EN Psychological Science 2021-12-08

In the present study, we examined way that scene complexity and saccades combine to sculpt temporal response patterns of V1 neurons. To bridge gap between conventional free viewing experiments, compared responses neurons across four paradigms ranging from less more natural. An optimal bar stimulus was either flashed into a receptive field (RF) or brought it via saccade embedded in natural uniform gray background. Responses tended be higher with rather than The most novel result reported here...

10.1152/jn.00612.2007 article EN Journal of Neurophysiology 2007-12-12

A critical component of decision making is determining when to commit a choice. This involves stopping rules that specify the requirements for commitment. Flexibility provides an important means control over decision-making processes. In many situations, these establish balance between premature decisions and late decisions. this study we use novel change detection paradigm examine how subjects invoking different rules. The task design allows us estimate temporal weighting sensory...

10.1152/jn.00071.2017 article EN Journal of Neurophysiology 2017-08-10

Decision making often involves choosing actions based on relevant evidence. This can benefit from focussing evidence evaluation the timescale of greatest relevance situation. Here, we use an auditory change detection task to determine how people adjust their depending demands for detecting changes in environment and assessing internal confidence those decisions. We confirm previous results that adopt shorter timescales contexts with signal durations, while bolstering model-free analyses not...

10.3389/fnins.2020.00826 article EN cc-by Frontiers in Neuroscience 2020-08-13
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