A Brief Introduction to Computationalism Gualtiero Piccinini September 9, 2010 November 25, 2022 Cognition / Mindcraft ShareTweetShareI just wrote the final version of an introduction to computationalism to be published in the forthcoming Oxford Handbook of Philosophy and Cognitive Science. I need to turn it in in a couple of weeks. I am posting it Previous PostOn Refereeing Journal Articles Next PostConsciousness at Scholarpedia, and a Dialogue on HOT Theories 4 Comments Eric Thomson September 10, 2010 at 6:21 pm 13 years ago Good to differentiate connectionist/pdp models from the more biologically inspired cognitive neuro. But you really should cite HH 1952 for that, it’s the keystone:Hodgkin, A., and Huxley, A. (1952): A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117:500–544. gualtiero September 10, 2010 at 10:32 pm 13 years ago Eric, thanks for your helpful comments. Is there any way you could expand a bit on how you’d like me to cite Hodgkin and Huxley? As constituting the beginning of biologically realistic mathematical and later computational models of neural activities? Eric Thomson September 11, 2010 at 3:26 am 13 years ago Yes, I would cite it as the seminal analysis of excitability in neurons based on conductance changes. It forms the basis for how pretty much every neuroscientist thinks about how neurons work at the mathematical, functional, and biophysical levels. Something like that anyway. We now look at HH as a special case of the more general class of conductance-based models that we all know and love: https://www.scholarpedia.org/article/Conductance-based_models Ermentrout has shown how PDP-type characterizations of neurons reduce to conductance based models when certain assumptions are made. Reference with later citations: https://portal.acm.org/citation.cfm?id=188151 The integrate and fire model, which people like because it includes spike times not just rates (PDP neurons are rate-based neurons), is also an important development that can be reduced to conductance-based models in many cases. A really nice overview of this “third generation” class of models that mix the relatively lower computational load of PDP models with a bit more biological realism can be found here: https://icwww.epfl.ch/~gerstner//BUCH.html Ultimately of course every theorist must decide how much detail to include in a model. I just know that the type of PDP you find in the PDP volumes I and II, most neuroscientists don’t consider neuroscience as much as theoretical psychology, and such models have been of very limited help in neuroscience proper compared to HH type models (as models of actual neuronal dynamics). gualtiero September 11, 2010 at 7:18 pm 13 years ago Eric, thanks for these excellent points! I think you are right that adding some information along the lines you indicate would be appropriate and helpful. Comments are closed.