Creativity and Delusions: A Neurocomputational Approach
Daniele Quintella Mendes, Luis Alfredo Vidal de Carvalho

TL;DR
This paper presents a neurocomputational model that unifies normal, abnormal, and creative thinking as a continuum influenced by dopaminergic modulation, offering a new perspective on mental processes.
Contribution
It introduces a self-organizing neural network model that simulates various thought patterns based on dopaminergic signals, bridging gaps between different mental states.
Findings
Normal and abnormal thinking emerge from the same neural substrate.
Dopaminergic modulation influences the continuum of thought patterns.
The model suggests no clear boundaries between different thought states.
Abstract
Thinking is one of the most interesting mental processes. Its complexity is sometimes simplified and its different manifestations are classified into normal and abnormal, like the delusional and disorganized thought or the creative one. The boundaries between these facets of thinking are fuzzy causing difficulties in medical, academic, and philosophical discussions. Considering the dopaminergic signal-to-noise neuronal modulation in the central nervous system, and the existence of semantic maps in human brain, a self-organizing neural network model was developed to unify the different thought processes into a single neurocomputational substrate. Simulations were performed varying the dopaminergic modulation and observing the different patterns that emerged at the semantic map. Assuming that the thought process is the total pattern elicited at the output layer of the neural network, the…
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Taxonomy
TopicsNeuroscience and Music Perception · Aesthetic Perception and Analysis · Action Observation and Synchronization
