Cox K.J.A., Adams P.R., (2023) Shedding Light on Social Learning arXiv preprint arXiv:2310.09175, 2023 – arxiv.org —-> pdf
Cox K.J.A., Adams P.R., (2021) A minimal model of the interaction of social and individual learning, Journal of Theoretical Biology, Volume 527, 21 October 2021, 110712 —->pdf
In this paper we explored a very simple model of culture using neural networks as explained in the abstract below. The difference between this work and other work in the cultural evolution field is that here we have an actual mechanism of how what they call ‘traits’ actually get transferred from one agent to another using a learning paradigm that brains plausibly use – Independent Components Analysis (ICA).
Cox K.J.A., Adams P.R. (2014) Hebbian learning from higher-order correlations requires crosstalk minimization. Biological Cybernetics May, 1-18 doi: 10.1007/s00422-014-0608-4 —-> pdf
Cox KJA, Adams PR (2012) From Life to Mind: 2 Prosaic Miracles? In: Simeonov PL, Smith S, Ehresmann AC (eds) Integral Biomathics: Tracing the Road to Reality. Proceedings of iBioMath 2011, Paris and ACIB ’11, Stirling UK. —->pdf
Cox KJA, Adams PR (2010) Hocus-Socus: An Error Catastrophe for Complex Hebbian Learning Implies Neocortical Proofreading arXiv preprint arXiv:1012.0946, 2010 – arxiv.org —->pdf
Cox K.J.A. and Adams P.R. (2009) Hebbian crosstalk prevents nonlinear unsupervised learning. Front. Comput. Neurosci. 3:11. doi:10.3389/neuro.10.011.2009 —->pdf
This paper shows that in a popular model of nonlinear Hebbian learning, there is a critical level of synaptic update error beyond which the system is unable to extract any useful information. This is the first evidence that a critical error threshold may well be a limiting factor regarding learning in the cortex and supports our contention that a large part of cortical circuitry is involved in error correction by proofreading.
Radulescu, A., Cox, K.J.A. and Adams, P.R. Hebbian errors in learning: An analysis using the Oja model. J. Theor. Biol.(2009), 258, 489-501—->PDF
This paper explores with analysis and simulations the role of Hebbian synaptic update error in the Oja Model, which is a linear system. We find that error, as expected, degrades performance but that there is no sudden breakdown, in contrast to the nonlinear case.
Adams and Cox (2006), A neurobiological perspective on building intelligent devices, The Neuromorphic Engineer —-> PDF
Previous Papers
Adams and Cox (2002), A new Interpretation of Thalamocortical Circuitry, Phil Trans Roy Soc —->PDF
Adams and Cox 2002, Synaptic Darwinism and Neocortical function Neurocomputing —-> PDF
Cox and Adams 2000, Implications of Synaptic Digitisation and Error for Neocortical Function Neurocomputing —->PDF
P. Adams, Hebb and Darwin, J. Theoretical Biology —-> PDF
P. Adams, Sleep Perchance to Dream, Science Spectra—-> PDF