5 problems

Spiking Neuron Convergence Conjecture for CHANI. CHANI satisfies the Spiking Neuron Convergence Conjecture in this simplified framework: its spiking neural network can learn to imp…

Spiking Neuron Convergence Conjecture. SNNs can learn to implement any achievable transformation.

Quantization-error conjecture. The quantization error inequality will hold for all signals for which the formula is well-defined, with the extension obtained using the Henstock–Kur…

Amplification-factor conjecture. For every $alpha\raum in (0,infty)$,

Firing-rate differential conjecture. The broader interval of elevated spiking for I-cells is mostly a consequence of the differential between driven and spontaneous firing rates be…