|
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells
|
|
Aaron R. Voelker, Chris Eliasmith
|
30 |
3 |
569–609 |
2018 |
20.76 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Imaging the Spatiotemporal Dynamics of Cognitive Processes at High
Temporal Resolution
|
|
I. Tal, M. Abeles
|
30 |
3 |
610–630 |
2018 |
18.1 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Learning Midlevel Auditory Codes from Natural Sound Statistics
|
|
Wiktor Młynarski, Josh H. McDermott
|
30 |
3 |
631–669 |
2018 |
32.53 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
|
|
Dorian Florescu, Daniel Coca
|
30 |
3 |
670–707 |
2018 |
30.64 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Indistinguishable Synapses Lead to Sparse Networks
|
|
Joseph Snider
|
30 |
3 |
708–722 |
2018 |
35.39 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis
|
|
Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
|
30 |
3 |
723–760 |
2018 |
28.55 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes
|
|
Melika Payvand, Luke Theogarajan
|
30 |
3 |
761–791 |
2018 |
23.57 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Quantifying Strength of Chaos in the Population Firing Rate of Neurons
|
|
Takashi Kanamaru
|
30 |
3 |
792–819 |
2018 |
28.49 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
|
|
Wei Wang, Hao Wang, Chen Zhang, Yang Gao
|
30 |
3 |
820–855 |
2018 |
31.83 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|