D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 39 Citations 9,207 83 World Ranking 4897 National Ranking 2160

Research.com Recognitions

Awards & Achievements

2009 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Neuron
  • Artificial intelligence

His primary areas of investigation include Neuroscience, Optogenetics, Interneuron, Prefrontal cortex and Cognition. His work in Neuroscience is not limited to one particular discipline; it also encompasses Artificial neural network. His work carried out in the field of Optogenetics brings together such families of science as Neocortex, Anterior cingulate cortex and Inhibitory postsynaptic potential.

His work deals with themes such as GABAergic, Cell type and Neuronal circuits, which intersect with Interneuron. His work on Orbitofrontal cortex and Neuropsychology as part of general Cognition research is frequently linked to Quality, thereby connecting diverse disciplines of science. His Cognitive psychology research includes elements of Neural correlates of consciousness, Metacognition, Olfactory perception and Categorization.

His most cited work include:

  • Cortical interneurons that specialize in disinhibitory control (672 citations)
  • Interneuron cell types are fit to function (633 citations)
  • Neural correlates, computation and behavioural impact of decision confidence (605 citations)

What are the main themes of his work throughout his whole career to date?

Adam Kepecs mainly investigates Neuroscience, Cognitive psychology, Perception, Optogenetics and Basal forebrain. He has included themes like Artificial neural network and Synaptic plasticity in his Neuroscience study. His Cognitive psychology study combines topics from a wide range of disciplines, such as Metacognition, Social psychology, Orbitofrontal cortex and Reinforcement learning.

Sensory system is closely connected to Prefrontal cortex in his research, which is encompassed under the umbrella topic of Optogenetics. His Basal forebrain research focuses on subjects like Cholinergic neuron, which are linked to Auditory cortex. His Interneuron research is multidisciplinary, relying on both Attractor network, Attractor and Cell type.

He most often published in these fields:

  • Neuroscience (68.75%)
  • Cognitive psychology (29.17%)
  • Perception (20.83%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (68.75%)
  • Perception (20.83%)
  • Cognitive psychology (29.17%)

In recent papers he was focusing on the following fields of study:

Adam Kepecs mostly deals with Neuroscience, Perception, Cognitive psychology, Reinforcement learning and Basal forebrain. In his study, Adam Kepecs carries out multidisciplinary Neuroscience and Gene regulatory network research. His Perception study combines topics in areas such as Dopamine hypothesis of schizophrenia and Reinforcement.

His Cognitive psychology study frequently links to related topics such as Orbitofrontal cortex. His Basal forebrain study which covers Cholinergic neuron that intersects with Bursting, Auditory cortex and Synaptic plasticity. His Stimulus modality study integrates concerns from other disciplines, such as Modality, Metacognition and Representation.

Between 2017 and 2021, his most popular works were:

  • A deep learning framework for neuroscience (199 citations)
  • Frontal cortex neuron types categorically encode single decision variables. (53 citations)
  • Interneuron Types as Attractors and Controllers (48 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Neuron
  • Artificial intelligence

Adam Kepecs mainly focuses on Neuroscience, Light beam, Nanophotonics, Millisecond and Orbitofrontal cortex. The Neuroscience study combines topics in areas such as Attractor network and Attractor. His biological study spans a wide range of topics, including Optoelectronics, Silicon, Waveguide and Beam.

Adam Kepecs combines subjects such as Neural stimulation, Silicon nitride, Bandwidth and Neural coding with his study of Nanophotonics. His Orbitofrontal cortex research includes themes of Representation, Cognitive psychology and Modality. His Reinforcement learning study combines topics from a wide range of disciplines, such as Stimulus modality and Metacognition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Cortical interneurons that specialize in disinhibitory control

Hyun Jae Pi;Balázs Hangya;Balázs Hangya;Duda Kvitsiani;Joshua I. Sanders.
Nature (2013)

946 Citations

Interneuron cell types are fit to function

Adam Kepecs;Gordon Fishell.
Nature (2014)

897 Citations

Neural correlates, computation and behavioural impact of decision confidence

Adam Kepecs;Naoshige Uchida;Naoshige Uchida;Hatim A. Zariwala;Hatim A. Zariwala;Zachary F. Mainen;Zachary F. Mainen.
Nature (2008)

847 Citations

A deep learning framework for neuroscience

Blake A Richards;Timothy P Lillicrap;Philippe Beaudoin;Yoshua Bengio;Yoshua Bengio.
Nature Neuroscience (2019)

438 Citations

Distinct behavioural and network correlates of two interneuron types in prefrontal cortex

D. Kvitsiani;S. Ranade;B. Hangya;H. Taniguchi;H. Taniguchi.
Nature (2013)

426 Citations

Confidence and certainty: distinct probabilistic quantities for different goals.

Alexandre Pouget;Jan Drugowitsch;Adam Kepecs.
Nature Neuroscience (2016)

399 Citations

Demixed principal component analysis of neural population data

Dmitry Kobak;Wieland Brendel;Wieland Brendel;Christos Constantinidis;Claudia E. Feierstein.
eLife (2016)

350 Citations

Model for a robust neural integrator

Alexei A. Koulakov;Alexei A. Koulakov;Sridhar Raghavachari;Adam Kepecs;John E. Lisman.
Nature Neuroscience (2002)

336 Citations

The Sniff as a Unit of Olfactory Processing

Adam Kepecs;Naoshige Uchida;Zachary F. Mainen.
Chemical Senses (2006)

320 Citations

Central Cholinergic Neurons Are Rapidly Recruited by Reinforcement Feedback.

Balázs Hangya;Balázs Hangya;Sachin P. Ranade;Maja Lorenc;Adam Kepecs.
Cell (2015)

307 Citations

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