Bartolozzi C, Indiveri G. (2007). Synaptic dynamics in analog VLSI. Neural computation. 19 [PubMed]

Bayati M et al. (2018). Storage fidelity for sequence memory in the hippocampal circuit. PloS one. 13 [PubMed]

Brader JM, Senn W, Fusi S. (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation. 19 [PubMed]

Branco T, Clark BA, Häusser M. (2010). Dendritic discrimination of temporal input sequences in cortical neurons. Science (New York, N.Y.). 329 [PubMed]

• Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010) [Model]

Brette R et al. (2007). Simulation of networks of spiking neurons: a review of tools and strategies. Journal of computational neuroscience. 23 [PubMed]

• Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Esposito U, Giugliano M, Vasilaki E. (2014). Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers in computational neuroscience. 8 [PubMed]

• Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015) [Model]

Gütig R, Sompolinsky H. (2009). Time-warp-invariant neuronal processing. PLoS biology. 7 [PubMed]

• Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009) [Model]

Hawkins J, Ahmad S. (2016). Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex. Frontiers in neural circuits. 10 [PubMed]

• Theory of sequence memory in neocortex (Hawkins & Ahmad 2016) [Model]

Legenstein R, Pecevski D, Maass W. (2008). A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS computational biology. 4 [PubMed]

• Reward modulated STDP (Legenstein et al. 2008) [Model]

Maes A, Barahona M, Clopath C. (2020). Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS computational biology. 16 [PubMed]

• Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020) [Model]

Masquelier T. (2018). STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons. Neuroscience. 389 [PubMed]

• Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017) [Model]

Masquelier T, Saeed Reza. (2018). Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection Front. Comput. Neurosci..

• Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018) [Model]

Sanders H, Berends M, Major G, Goldman MS, Lisman JE. (2013). NMDA and GABAB (KIR) conductances: the "perfect couple" for bistability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013) [Model]

Sanders H et al. (2014). A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition. Frontiers in computational neuroscience. 8 [PubMed]

• NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013) [Model]

Shamir M, Sen K, Colburn HS. (2007). Temporal coding of time-varying stimuli. Neural computation. 19 [PubMed]

Talathi SS, Abarbanel HD, Ditto WL. (2008). Temporal spike pattern learning. Physical review. E, Statistical, nonlinear, and soft matter physics. 78 [PubMed]

Tripp B, Eliasmith C. (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

• Neural transformations on spike timing information (Tripp and Eliasmith 2007) [Model]

Yu Q, Tang H, Hu J, Tan KC. (2017). Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns Neuromorphic Cognitive Systems: A Learning and Memory Centered Approach.