Luis H. H. Favela, "The Ecological Brain: Unifying the Sciences of Brain, Body, and Environment" (Routledge, 2024)
May 10, 2024
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Philosopher Luis H. H. Favela discusses his book on ecological psychology and the NeuroEcological Nexus Theory. He explores the integration of ecological psychology with neuroscience, challenges representational approaches in cognition, delves into spatial navigation, and reframes memory and computation in neuroscience. Favela aims to bridge the gap between ecological psychology and neuroscience through complexity science and affordances.
Ecological psychology emphasizes dynamic interactions between brain, body, and environment over cognitive representations.
NeuroEcological Nexus Theory bridges ecological psychology and neuroscience using complexity science principles like affordances as dimensional reductions.
Deep dives
The Anti-Representational Stance of Ecological Psychology
Ecological psychology challenges classical cognitiveist views by emphasizing that perception and action are best explained through dynamic interactions between the brain, body, and environment, rather than cognitive representations. Luis Fevella's book delves into the theoretical clash between ecological psychology and certain areas of neuroscience, presenting a framework called the neuroecological nexus theory to reconcile these views. Complexity science concepts, like affordances as dimensional reductions in ecological psychology, aid in integrating these differing perspectives.
Integration of Complexity Science into Reconciliation Efforts
Fevella introduces complexity science principles like non-linearity, emergence, self-organization, and universality to bridge the gap between ecological psychology and neuroscience. By finding a common language based on complex systems approaches, Fevella's neuroecological nexus theory aims to unify explanations of affordances and intelligent behavior, offering a multi-scale perspective that allows for coordination between brain, body, and environmental information.
Challenging Computational Views of Memory and Intelligence
The conversation between Fevella and his interviewer unveils a critique of viewing the brain as a computer, highlighting the limitations of a strictly computational model for understanding cognition. Fevella explores alternative viewpoints on memory and cognitive processes, suggesting a dynamical systems approach that emphasizes dynamic information interaction over a computationally rigid representation of memory and intelligence.
Expanding the Reconciliation Efforts to Higher Cognitive Phenomena
Fevella discusses plans to extend his reconciliation efforts to higher-level cognitive phenomena that traditionally heavily rely on representations and computations. The challenge lies in offering explanations for cognitive processes that typically necessitate mental representations without compromising the core commitments of ecological psychology. This expansion aims to address the real cognitive challenges that might require departing from traditional computational models in favor of ecological perspectives.
Ecological psychology holds that perception and action are best explained in terms of dynamic interactions between brain, body, and environment, not in classical cognitivist terms of the manipulation of representations in the head. This anti-representationalist stance, argues Luis Favela, makes ecological psychology deeply at odds with dominant trends in some parts of neuroscience.
In The Ecological Brain: Unifying the Sciences of Brain, Body, and Environment (Routledge, 2024), Favela lays out the seemingly irreconciliable theoretical commitments of ecological psychology and neuroscience, and then defends a framework for reconciling them: the NeuroEcological Nexus Theory (NExT). According to Favela, who is an associate professor of philosophy and cognitive sciences at the University of Central Florida, complexity science provides the conceptual tools that can help integrate these frameworks, such as by articulating the key notion of affordances in ecological psychology as a kind of dimensional reduction in complexity science.