Week 2 reading

Synapses 1

• Svensson et al. (2019) “General principles of neuronal co-transmission: insights from multiple model systems”
• Cornford et al. (2023) “Learning to live with Dale’s principle: ANNs with separate excitatory and inhibitory units

Synapses 2

• Markram et al. (2011) “A history of spike-timing-dependent plasticity”
• Tsodyks & Wu (2013) “Short-term synaptic plasticity”
• Wan et al. (2013) “Regularization of neural networks using DropConnect”

Networks

• Sotelo (2003) “Viewing the brain through the master hand of Ramon y Cajal”
• Zheng et al. (2018) “A complete electron microscopy volume of the brain of adult Drosophila melanogaster”
• Marr (1969) “A theory of cerebellar cortex
• Strata (2009) “David Marr’s theory of cerebellar learning: 40 years later
• Shadmehr (2020) “Population coding in the cerebellum: a machine learning perspective
• Taube et al. (1990) “Head-direction cells recorded from the postsubiculum in freely moving rats”
• Skaggs et al. (1995) “A model of the neural basis of the rat’s sense of direction”
• Clandinin & Giocomo (2015) “Internal compass puts flies in their place”
• Seelig & Jayaraman (2015) “Neural dynamics for landmark orientation and angular path integration”

Synapse models

• Gerstner et al. (2014) “Neuronal Dynamics” Chapter 3.1 Synapses
• Tsodyks & Wu (2013) “Short-term synaptic plasticity”
• Hennig (2013) “Theoretical models of synaptic short term plasticity”

Network models

• SNUFA spiking neural network workshop
• Iulia Comsa proof that spiking neural networks are universal function approximators
• Comsa et al. (2019) “Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation”
• Grothe et al. (2010) “Mechanisms of Sound Localization in Mammals”
• Kremer et al. (2011) “Late emergence of the vibrissa direction selectivity map in the rat barrel cortex”
• Goodman et al. (2013) “Decoding neural responses to temporal cues for sound localization”
• Day and Delgutte (2013) “Decoding Sound Source Location and Separation Using Neural Population Activity Patterns”
• Dayan and Abbott (2001) “Theoretical Neuroscience” (free pdf)
• Wei Ji Ma et al. (2023) “Bayesian models of perception and action” (free online versions here)
• Okun and Lampl (2009) “Balance of excitation and inhibition”
• Goodman et al. (2018) “Modelling firing regularity in the ventral cochlear nucleus: mechanisms, and effects of stimulus level and synaptopathy”
• Prinz et al. (2004) “Similar network activity from disparate circuit parameters”
• Stimberg et al. (2019) “Brian 2, an intuitive and efficient neural simulator”