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Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
TLDR
The model of cortical processing is presented as an electronic circuit that emulates this hybrid operation, and so is able to perform computations that are similar to stimulus selection, gain modulation and spatiotemporal pattern generation in the neocortex. Expand
An ultra-sparse code underliesthe generation of neural sequences in a songbird
TLDR
It is suggested that at each time in the RA sequence, the ensemble of active RA neurons is driven by a subpopulation of RA-projecting HVC neurons that is active only at that time, which eliminates the problem of temporal interference during sequence generation and learning attributed to more distributed representations. Expand
Neural Mechanisms of Vocal Sequence Generation in the Songbird
TLDR
It is found that HVC neurons projecting to premotor nucleus RA each generate a single burst of spikes at a particular time in the song and may form a sparse representation of temporal order. Expand
Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity
TLDR
It is shown that heterosynaptic competition within single neurons, when combined with STDP, organizes networks to generate long unary activity sequences even without sequential training inputs, suggesting that neural sequences may be shaped by synaptic constraints and network circuitry rather than cellular time constants. Expand
Double-ring network model of the head-direction system.
TLDR
This paper proposes a different integration model with two populations of neurons, which performs integration based on the differential input of the vestibular nuclei to these two populations, and demonstrates that with carefully tuned synaptic connections it can accurately integrate a large range of the Vestibular input, with potentially slow synapses. Expand
Neural processing of auditory feedback during vocal practice in a songbird
TLDR
Investigating feedback processing outside the traditional song system, in single auditory forebrain neurons of juvenile zebra finches that were in a late developmental stage of song learning suggests that a computational function of forebrain auditory areas may be to detect errors between actual feedback and mirrored feedback deriving from an internal model of the bird’s own song or that of its tutor. Expand
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
TLDR
By viewing permitted sets as memories stored in the synaptic connections, this work provides a formulation of long-term memory that is more general than the traditional perspective of fixed-point attractor networks. Expand
On the piecewise analysis of networks of linear threshold neurons
TLDR
The study of oscillations of random networks suggests that all cyclic trajectories of linear threshold networks are a result of the existence of partitions with undamped linear oscillations. Expand
Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird.
TLDR
The data suggest that in adult birds, RA burst sequences in sleep are driven via the premotor pathway from HVC, and it is proposed that commonly observed coherency peaks at positive and negative time lags are caused by sequentially correlated HVC activity. Expand
Silicon synaptic depression
TLDR
Based on a simple biological model, an analog circuit is constructed that emulates the properties of short-term depressing synapses and provides a useful basis for implementing neural networks with dynamical synapses. Expand
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