Abstract: A neural network learning mechanism has a device which perturbs analog neurons to measure an error which results from perturbations at different points within the neural network and modifies weights and biases to converge to a target.

Abstract: A multiplier has a pair of charge reservoirs. The pair of charge reservoirs are connected in series. A first charge movement device induces charge movement to or from the pair of charge reservoirs at a same rate. A second charge movement device induces charge movement to or from one of the pair of reservoirs, the rate of charge movement programmed to one of add or remove charges at a rate proportional to the first charge movement device. The first charge movement device loads a first charge into a first of the pair of charge reservoirs during a first cycle. The first charge movement device and the second charge movement device remove charges at a proportional rate from the pair of charge reservoirs during a second cycle until the first of the pair of charge reservoirs is depleted of the first charge. The second charge reservoir thereafter holding the multiplied result.

Abstract: A multiplier has a MOSFET in a common source configuration. A MOSFET current source is coupled to a drain terminal of the MOSFET. An inverter has an input coupled to the drain terminal of the MOSFET. An output of the inverter gates two currents whose current magnitudes are proportional. A first capacitor has a first terminal coupled to a first of the two currents and a gate of the MOSFET and a second terminal grounded. A second capacitor has a first terminal coupled to a second of the two currents and a second terminal coupled to the first of the two currents. The multiplier is first reset by discharging a gate capacitance of the MOSFET and then allowing it to be recharged to a Vt comparator threshold after which a charge is removed from the gate terminal of the MOSFET reducing a voltage on the gate terminal below the Vt comparator threshold, causing the two currents to be enabled until the Vt comparator threshold reaches a previous Vt comparator threshold and the inverter turns off the two currents.

Abstract: A reconfigurable, for example with time, network switch matrix coupling switch charge circuits representing multiply and add circuits (MACs) and neurons (MACs with activations) capable of accepting and outputting proportional to charge pulses through crossbars within said network, said crossbars controlled by local controllers and higher level controllers to setup said crossbar communications.