"Synaptic summation is the technical term used in neurophysiology for those instances in which some neuron C is fired only by a combination of neurons A and B"
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Bateson smuggles a philosophy of mind into a lab-grade definition. On the surface, "synaptic summation" is just circuitry: neuron C stays quiet unless inputs from A and B arrive together, their small pushes adding up to a threshold-crossing event. But the sentence is doing more than naming a mechanism. It’s a quiet polemic against single-cause stories.
The intent is to make combination, not essence, feel like the basic unit of explanation. C is not "caused" by A or B; it’s elicited by a relation. That shift matters because Bateson spent his career arguing that information and meaning live in patterns of difference - in how signals co-vary - rather than in isolated signals. This one technical example models his broader claim: the world doesn’t behave like a straight line of dominoes; it behaves like networks where effects are conditional, context-bound, and often only legible at the level of interaction.
Subtext: stop looking for the lone villain, the single gene, the one traumatic memory, the magic policy lever. In brains, in families, in ecosystems, causality is typically conjunctive: A plus B under the right timing and conditions yields C; change the context and the "same" input does nothing. Even the clinical-sounding letters (A, B, C) dramatize how easily we mistake our abstractions for reality, then blame A when the system demanded A-with-B.
Contextually, this line sits inside mid-century cybernetics and systems thinking, where feedback, thresholds, and emergence replaced mechanistic certainty. Bateson uses neurophysiology as a rhetorical foothold: if even a neuron refuses simple causation, our social and psychological explanations should be embarrassed to keep pretending otherwise.
The intent is to make combination, not essence, feel like the basic unit of explanation. C is not "caused" by A or B; it’s elicited by a relation. That shift matters because Bateson spent his career arguing that information and meaning live in patterns of difference - in how signals co-vary - rather than in isolated signals. This one technical example models his broader claim: the world doesn’t behave like a straight line of dominoes; it behaves like networks where effects are conditional, context-bound, and often only legible at the level of interaction.
Subtext: stop looking for the lone villain, the single gene, the one traumatic memory, the magic policy lever. In brains, in families, in ecosystems, causality is typically conjunctive: A plus B under the right timing and conditions yields C; change the context and the "same" input does nothing. Even the clinical-sounding letters (A, B, C) dramatize how easily we mistake our abstractions for reality, then blame A when the system demanded A-with-B.
Contextually, this line sits inside mid-century cybernetics and systems thinking, where feedback, thresholds, and emergence replaced mechanistic certainty. Bateson uses neurophysiology as a rhetorical foothold: if even a neuron refuses simple causation, our social and psychological explanations should be embarrassed to keep pretending otherwise.
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| Topic | Science |
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