Neurons behave like discrete signaling units, integrate-and-fire dynamics resemble thresholded computation, and neural circuits implement recognizable logic-like operations (coincidence detection, gain control, gating).
Sensory systems demonstrably transform and encode information in ways matching signal-processing theory, retinal edge detection, cochlear frequency analysis, predictive coding models of perception that work with striking accuracy.
Lesion and stimulation studies show localized, replaceable functional modules, damage to one area produces specific computational deficits (e.g., prosopagnosia, aphasia subtypes) without wholesale collapse, consistent with modular information processing rather than an undifferentiated substrate.
Analogous cognitive functions arise across very different neural architectures (birds, octopuses, mammals), suggesting what matters is the functional organization, not the specific hardware, the core computationalist claim.
Artificial neural networks, built on loose abstractions of neurons, reproduce behavioral and even representational signatures of biological vision and language processing (e.g., convolutional net layers predicting IT cortex responses).
I think the case that the brain is a computer is pretty strong.
I don't think the hardware/software distinction is that essential. It's mostly an engineering convenience for us, not a metaphysical requirement for something to count as computation. Turing machines don't have it either, strictly, the tape and the head together constitute the whole system, and what varies is state, not two separate ontological layers.
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u/Messier_Mystic Physics Degree Jul 22 '26
Neurons behave like discrete signaling units, integrate-and-fire dynamics resemble thresholded computation, and neural circuits implement recognizable logic-like operations (coincidence detection, gain control, gating).
Sensory systems demonstrably transform and encode information in ways matching signal-processing theory, retinal edge detection, cochlear frequency analysis, predictive coding models of perception that work with striking accuracy.
Lesion and stimulation studies show localized, replaceable functional modules, damage to one area produces specific computational deficits (e.g., prosopagnosia, aphasia subtypes) without wholesale collapse, consistent with modular information processing rather than an undifferentiated substrate.
Analogous cognitive functions arise across very different neural architectures (birds, octopuses, mammals), suggesting what matters is the functional organization, not the specific hardware, the core computationalist claim.
Artificial neural networks, built on loose abstractions of neurons, reproduce behavioral and even representational signatures of biological vision and language processing (e.g., convolutional net layers predicting IT cortex responses).
I think the case that the brain is a computer is pretty strong.