Abstract:
A neural system comprises multiple neurons interconnected via synapse devices. Each neuron integrates input signals arriving on its dendrite, generates a spike in response to the integrated input signals exceeding a threshold, and sends the spike to the interconnected neurons via its axon. The system further includes multiple noruens, each noruen is interconnected via the interconnect network with those neurons that the noruen's corresponding neuron sends its axon to. Each noruen integrates input spikes from connected spiking neurons and generates a spike in response to the integrated input spikes exceeding a threshold. There can be one noruen for every corresponding neuron. For a first neuron connected via its axon via a synapse to dendrite of a second neuron, a noruen corresponding to the second neuron is connected via its axon through the same synapse to dendrite of the noruen corresponding to the first neuron.
Abstract:
A system, method and computer program product produce spike-dependent plasticity in an artificial synapse. A method includes: an electronic device generating a pre-synaptic pulse that occurs a predetermined period of time after receiving a pre-synaptic spike at a first input. The electronic device generating a post-synaptic pulse that starts at a baseline value and reaches a first voltage value a first period of time after receiving a post-synaptic spike at a second input, followed by a second voltage value a second period of time after the post synaptic spike, followed by a return to said baseline voltage a third period of time after the post-synaptic spike. The generated pre-synaptic pulse is applied to a pre-synaptic node of a synaptic device in series with a rectifying element that has a turn-on voltage based on a threshold. The generated post-synaptic pulse is applied to a post-synaptic node of said synaptic device.
Abstract:
A neural system comprises multiple neurons interconnected via synapse devices. Each neuron integrates input signals arriving on its dendrite, generates a spike in response to the integrated input signals exceeding a threshold, and sends the spike to the interconnected neurons via its axon. The system further includes multiple noruens, each noruen is interconnected via the interconnect network with those neurons that the noruen's corresponding neuron sends its axon to. Each noruen integrates input spikes from connected spiking neurons and generates a spike in response to the integrated input spikes exceeding a threshold. There can be one noruen for every corresponding neuron. For a first neuron connected via its axon via a synapse to dendrite of a second neuron, a noruen corresponding to the second neuron is connected via its axon through the same synapse to dendrite of the noruen corresponding to the first neuron.
Abstract:
Apparatuses for measuring rheological properties of fluids and methods for using same are provided. In a general embodiment, the present disclosure provides a mixer sensor that is configured to be attached to a rheometer drive head and used to measure rheological properties of a fluid having particulates over a wide range of temperatures and shear rates. Apparatuses capable of obtaining rheological data of a fluid having particulates over a wide range of temperatures and shear rates provides for more precise rheological measurements. The temperatures may be very high temperatures that exceed 100° C., and the shear rates may includes a range of shear rates that are typically found in a processing pipeline system.
Abstract:
An integrate and fire electronic neuron is disclosed. Upon receiving an external spike signal, a digital membrane potential of the electronic neuron is updated based on the external spike signal. The electric potential of the membrane is decayed based on a leak rate. Upon the electric potential of the membrane exceeding a threshold, a spike signal is generated.
Abstract:
In one embodiment, the present invention provides a neural network comprising multiple modalities. Each modality comprises multiple neurons. The neural network further comprises an interconnection lattice for cross-associating signaling between the neurons in different modalities. The interconnection lattice includes a plurality of perception neuron populations along a number of bottom-up signaling pathways, and a plurality of action neuron populations along a number of top-down signaling pathways. Each perception neuron along a bottom-up signaling pathway has a corresponding action neuron along a reciprocal top-down signaling pathway. An input neuron population configured to receive sensory input drives perception neurons along a number of bottom-up signaling pathways. A first set of perception neurons along bottom-up signaling pathways drive a first set of action neurons along top-down signaling pathways. Action neurons along a number of top-down signaling pathways drive an output neuron population configured to generate motor output.
Abstract:
An electronic synapse device is provided. One embodiment of the invention includes a metastable switching synaptic device. Changing conductance of the metastable switching synaptic device occurs by receiving opposite signed first and second voltage pulses at the metastable switching synaptic device where magnitude of the first voltage pulse and the second voltage pulse each are below a switching voltage magnitude threshold. A magnitude difference between the first voltage pulse and the second voltage pulse exceeds the switching voltage magnitude threshold by an amount, wherein the amount is a function of a relative timing between the first voltage pulse and the second voltage pulse.
Abstract:
An optical device comprising an optical hydrogel with select regions that have been irradiated with laser light having a pulse energy from 0.01 nJ to 50 nJ and a wavelength from 600 nm to 900 nm. The irradiated regions are characterized by a positive change in refractive index of from 0.01 to 0.06, and exhibit little or no scattering loss. The optical hydrogel is prepared with a hydrophilic monomer.
Abstract:
A method includes forming one or more trenches in a substrate; lining the one or more trenches with a dielectric liner; filling the one or more trenches with a conductive electrode to form one or more trench electrodes; forming a transistor layer on the substrate; connecting each of the one or more trench electrodes to at least one access transistor in the transistor layer; and thinning the substrate to expose at least a portion of each of the trench electrodes.
Abstract:
An event-driven neural network includes a plurality of interconnected core circuits is provided. Each core circuit includes an electronic synapse array has multiple digital synapses interconnecting a plurality of digital electronic neurons. A synapse interconnects an axon of a pre-synaptic neuron with a dendrite of a post-synaptic neuron. A neuron integrates input spikes and generates a spike event in response to the integrated input spikes exceeding a threshold. Each core circuit also has a scheduler that receives a spike event and delivers the spike event to a selected axon in the synapse array based on a schedule for deterministic event delivery.