Anesthesia in mice activates discrete populations of neurons throughout the brain

2021 ◽  
Author(s):  
Shai‐lee Yatziv ◽  
Or Yudco ◽  
Kristina Vaso ◽  
Adi Mizrahi ◽  
Marshall Devor
Keyword(s):  
Discrete Populations ◽  
The Brain

scholarly journals A neuronal theory of sequential economic choice

2018 ◽  
Vol 2 ◽  
pp. 239821281876667 ◽  
Author(s):  
Benjamin Y. Hayden ◽  
Rubén Moreno-Bote
Keyword(s):  
Focus Of Attention ◽  
Distributed Consensus ◽  
Horse Race ◽  
Neuronal Populations ◽  
Economic Choice ◽  
Comparison Results ◽  
Multiple Levels ◽  
Discrete Populations ◽  
The Brain ◽  
New Framework

Results of recent studies point towards a new framework for the neural bases of economic choice. The principles of this framework include the idea that evaluation is limited to a single option within the focus of attention and that we accept or reject that option relative to the entire set of alternatives. Rejection leads attention to a new option, although it can later switch back to a previously rejected one. The option to which a neuron’s firing rate refers is determined dynamically by attention and not stably by labelled lines. Value is always computed relative to the value of rejection. Comparison results not from explicit competition between discrete populations of neurons, but indirectly, as in a horse race, from the fact that the first option whose value crosses a threshold is selected. Consequently, comparison can occur within a single pool of neurons rather than by competition between two or more neuronal populations. The computations that constitute comparison thus occur at multiple levels, including premotor levels, simultaneously (i.e. the brain uses a distributed consensus), and not in discrete stages. This framework suggests a solution to a set of otherwise unresolved neuronal binding problems that result from the need to link options to values, comparisons to actions, and choices to outcomes.

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