Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal

Селекционистские и эволюционные подходы к функциям мозга: критический анализ
Chrisantha Fernando, Eörs Szathmáry, Phil Husbands
2012-01-01

Darwinian replicatorsPrice covariance formulationneuronal group selectionreinforcement learningsynaptic selection
We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman's theory of neuronal group selection, Changeux's theory of synaptic selection and selective stabilization of pre-representations, Seung's Darwinian synapse, Loewenstein's synaptic melioration, Adam's selfish synapse, and Calvin's replicating activity patterns. Except for the last two, the proposed mechanisms are selectionist but not truly Darwinian, because no replicators with information transfer to copies and hereditary variation can be identified in them. All of them fit, however, a generalized selectionist framework conforming to the picture of Price's covariance formulation, which deliberately was not specific even to selection in biology, and therefore does not imply an algorithmic picture of biological evolution. Bayesian models and reinforcement learning are formally in agreement with selection dynamics. A classification of search algorithms is shown to include Darwinian replicators (evolutionary units with multiplication, heredity, and variability) as the most powerful mechanism for search in a sparsely occupied search space. Examples are given of cases where parallel competitive search with information transfer among the units is more efficient than search without information transfer between units. Finally, we review our recent attempts to construct and analyze simple models of true Darwinian evolutionary units in the brain in terms of connectivity and activity copying of neuronal groups. Although none of the proposed neuronal replicators include miraculous mechanisms, their identification remains a challenge but also a great promise.
1
Bayesian models and reinforcement learning are formally compatible with selection dynamics, despite not necessarily constituting Darwinian processes.
2
Constructing true Darwinian neuronal replicators through connectivity and activity copying remains challenging, but could substantially advance theories of brain function.
3
Darwinian replicators combining multiplication, heredity, and variability are classified as the most powerful search mechanism in sparsely occupied search spaces.
4
Edelman’s, Changeux’s, Seung’s, and Loewenstein’s mechanisms fit Price’s generalized covariance-based selection framework without implying biological evolutionary algorithms.
5
Most reviewed brain theories are selectionist rather than genuinely Darwinian because they lack identifiable replicators, information transfer, and hereditary variation.
6
Parallel competitive search with information transfer among units can outperform search lacking inter-unit information transfer.

Darwinian and selectionist mechanisms in brain dynamics and function, including proposed neuronal and synaptic evolutionary units

The extent to which brain selection mechanisms constitute true Darwinian evolution, particularly through replication, heredity, variation, and information transfer, and their efficiency as competitive search processes

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2012-01-01
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Chrisantha Fernando
Eörs Szathmáry
Phil Husbands
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