In the blink of an eyeless than half a seconddynamic neuronal networks in our brains process, maintain, and act upon an abundance of information. In my research I seek to construct an understanding, from a network perspective, of cognition built upon first principles of neurophysiology and computational models. To do this I incorporate a variety of methods and tools in my research, including intracranial electrophysiological recordings from humans, scalp electroencephalography from healthy younger and older adults, behavioral and neuroimaging studies involving patients with focal brain lesions, data-mining of large-scale databases, and brain-computer interfacing. Specifically my research program aims to answer three questions: 1) What role does the prefrontal cortex play in shaping and coordinating network activity during complex cognition and executive functioning? 2) Under what circumstances is this network altered or disrupted and what are the consequences of such disruption? And, 3) What are the principles that allow for network communication in noisy internal and external environments? My research addresses these questions across multiple scales ranging from basic neurophysiology to population-wide analyses of cognitive data collected from more than 400,000 participants. My goal is to take cognitive science outside of the laboratory and "into the wild" using distributed data collection and large-scale data analysis to help bridge psychology and basic physiology.
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Bradley Voytek - Cognitive Networks
1. Cognitive Networks:
From Neural to National Assemblies
Bradley Voytek, PhD
UCSF Department of Neurology
bradley.voytek@gmail.com
http://ketyov.com
2. Frontal Cognitive Networks
1. Frontal-dependent working memory networks
2. Decision making and frontal network dynamics
3. Neurophysiology of executive function in aging
9. Lateralized Presentation
Non-match
Match
(1080-2580 ms)
y
s)
la 0 m
de 08 +
test
1
80-
(1
+ +
(0-180 ms)
memory
e
+ tim
Ipsilesional
Contralesional
Source: Voytek & Knight, PNAS 2010
10. Working Memory Deficits
Non-match
Match
3.0
**
ipsi-
(1080-2580 ms)
y
s)
la 0 m
de 08 +
test
0-
1 contra-
accuracy (d')
8
(1
accuracy (d')
+ +
(0-180 ms)
memory
e
+ tim
2.5
*
*
*
2.0
Control
PFC
BG
Ipsilesional
Contralesional
L / R
Source: Voytek & Knight, PNAS 2010
52. Aging and Cognition
1. Behavioral noise increases in aging
2. Neural noise increases in aging
3. Altered network communication in aging
53. Where We Are Now
1. Frontal networks critical (causal) in cognition
2. Rapid network plasticity
3. Oscillatory mechanisms subserve frontal control
4. Frontal involvement in aging and neural noise
66. Support
National Institute of Neurological Disorders and Stroke NS021135
National Institute of General Medical Sciences Institutional Research and
Career Development Award (IRACDA)
UCSF Information Technology Innovation Award
The Feldman Family Foundation
University of California President's Postdoctoral Fellowship Program
Society for Neuroscience - Neuroscience Scholars Program
67. Cognitive Networks:
From Neural to National Assemblies
Bradley Voytek, PhD
UCSF Department of Neurology
bradley.voytek@gmail.com
http://ketyov.com