Literature DB >> 23616557

Representation of abstract quantitative rules applied to spatial and numerical magnitudes in primate prefrontal cortex.

Anne-Kathrin Eiselt1, Andreas Nieder.   

Abstract

Processing quantity information based on abstract principles is central to intelligent behavior. Neural correlates of quantitative rule selectivity have been identified previously in the prefrontal cortex (PFC). However, whether individual neurons represent rules applied to multiple magnitude types is unknown. We recorded from PFC neurons while monkeys switched between "greater than/less than" rules applied to spatial and numerical magnitudes. A majority of rule-selective neurons responded only to the quantitative rules applied to one specific magnitude type. However, another population of neurons generalized the magnitude principle and represented the quantitative rules related to both magnitudes. This indicates that the primate brain uses rule-selective neurons specialized in guiding decisions related to a specific magnitude type only, as well as generalizing neurons that respond abstractly to the overarching concept "magnitude rules."

Mesh:

Year:  2013        PMID: 23616557      PMCID: PMC6619563          DOI: 10.1523/JNEUROSCI.5827-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  11 in total

1.  Single-cell coding of sensory, spatial and numerical magnitudes in primate prefrontal, premotor and cingulate motor cortices.

Authors:  Anne-Kathrin Eiselt; Andreas Nieder
Journal:  Exp Brain Res       Date:  2015-10-05       Impact factor: 1.972

2.  Context-Dependent Duration Signals in the Primate Prefrontal Cortex.

Authors:  Aldo Genovesio; Lucia K Seitz; Satoshi Tsujimoto; Steven P Wise
Journal:  Cereb Cortex       Date:  2015-07-24       Impact factor: 5.357

Review 3.  The neurobiology of innate, volitional and learned vocalizations in mammals and birds.

Authors:  Andreas Nieder; Richard Mooney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-18       Impact factor: 6.237

4.  Blockage of NMDA- and GABA(A) Receptors Improves Working Memory Selectivity of Primate Prefrontal Neurons.

Authors:  Paul Rodermund; Stephanie Westendorff; Andreas Nieder
Journal:  J Neurosci       Date:  2020-01-07       Impact factor: 6.167

Review 5.  The neuronal code for number.

Authors:  Andreas Nieder
Journal:  Nat Rev Neurosci       Date:  2016-05-06       Impact factor: 34.870

6.  Monkey Prefrontal Single-Unit Activity Reflecting Category-Based Logical Thinking Process and Its Neural Network Model.

Authors:  Takayuki Hosokawa; Muyuan Xu; Yuichi Katori; Munekazu Yamada; Kazuyuki Aihara; Ken-Ichiro Tsutsui
Journal:  J Neurosci       Date:  2022-07-08       Impact factor: 6.709

7.  Monkey Prefrontal Neurons Reflect Logical Operations for Cognitive Control in a Variant of the AX Continuous Performance Task (AX-CPT).

Authors:  Rachael K Blackman; David A Crowe; Adele L DeNicola; Sofia Sakellaridi; Angus W MacDonald; Matthew V Chafee
Journal:  J Neurosci       Date:  2016-04-06       Impact factor: 6.167

Review 8.  Interference between Space and Time Estimations: From Behavior to Neurons.

Authors:  Encarni Marcos; Aldo Genovesio
Journal:  Front Neurosci       Date:  2017-11-21       Impact factor: 4.677

9.  Application of an abstract concept across magnitude dimensions by fish.

Authors:  Maria Elena Miletto Petrazzini; Caroline H Brennan
Journal:  Sci Rep       Date:  2020-10-09       Impact factor: 4.379

Review 10.  Reward and value coding by dopamine neurons in non-human primates.

Authors:  Aydin Alikaya; Mackenzie Rack-Wildner; William R Stauffer
Journal:  J Neural Transm (Vienna)       Date:  2017-10-26       Impact factor: 3.575

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