“The physics of representation” (Poldrack 2020) aims to (1) define the word “representation” as used in the neurosciences, (2) argue that such representations as described in neuroscience are related to and usefully illuminated by the representations generated by modern neural networks, and (3) establish that these entities are “representations in good standing”. We suggest that Poldrack succeeds in (1), exposes some tensions between the broad use of the term in neuroscience and the narrower class of entities that he identifies in the end, and between the meaning of “representation” in neuroscience and in psychology in (2), and fails in (3). This results in some hard choices: give up on the broad scope of the term in neuroscience (and there...
In the past decade neuroscientists have arrived at an understanding of neural representation that po...
In this article, we highlight three questions: (1) Does human cognition rely on structured internal ...
This paper proposes an account of neurocognitive activity without leveraging the notion of neural re...
“The physics of representation” (Poldrack, 2020) aims to (1) define the word “representation” as use...
The concept of “representation” is used broadly and uncontroversially throughout neuroscience, in co...
This paper explores the way representational notions figure into cognitive science, with a focus on ...
This paper explores the way representational notions figure into cognitive science, with a focus on ...
The word representation (as in "neural representation"), and many of its related terms, such as to r...
Neural structural representations are cerebral map- or model-like structures that structurally resem...
This commentary concerns an assumption in Favela & Machery's "Investigating the concept of represent...
Among the cognitive capacities of evolved creatures is the capacity to represent. Theories in cogni...
This paper introduces the Cummins Functions Approach to neural representations (CFA), which aims to ...
Many philosophers worry that cognitive scientists apply the concept REPRESENTATION too liberally. Fo...
Brette criticizes the notion of neural coding as used in neuroscience as a way to clarify the causal...
In the past decade neuroscientists have arrived at an understanding of neural representation that po...
In this article, we highlight three questions: (1) Does human cognition rely on structured internal ...
This paper proposes an account of neurocognitive activity without leveraging the notion of neural re...
“The physics of representation” (Poldrack, 2020) aims to (1) define the word “representation” as use...
The concept of “representation” is used broadly and uncontroversially throughout neuroscience, in co...
This paper explores the way representational notions figure into cognitive science, with a focus on ...
This paper explores the way representational notions figure into cognitive science, with a focus on ...
The word representation (as in "neural representation"), and many of its related terms, such as to r...
Neural structural representations are cerebral map- or model-like structures that structurally resem...
This commentary concerns an assumption in Favela & Machery's "Investigating the concept of represent...
Among the cognitive capacities of evolved creatures is the capacity to represent. Theories in cogni...
This paper introduces the Cummins Functions Approach to neural representations (CFA), which aims to ...
Many philosophers worry that cognitive scientists apply the concept REPRESENTATION too liberally. Fo...
Brette criticizes the notion of neural coding as used in neuroscience as a way to clarify the causal...
In the past decade neuroscientists have arrived at an understanding of neural representation that po...
In this article, we highlight three questions: (1) Does human cognition rely on structured internal ...
This paper proposes an account of neurocognitive activity without leveraging the notion of neural re...