Massachusetts Institute of Technology

California Institute of Technology

Lucent Technologies Inc.

Dartmouth College

Other

Agere Systems Inc.

Mitsubishi Electric Research Laboratories, Inc.

Agere Systems Guardian Corp.

Advanced Bionics Corporation

Rahnix, Inc.

Rahul Sarpeshkar

Soumyajit Mandal

Lorenzo Turicchia

Christof Koch

Benjamin I Rapoport

Ananth Dodabalapur

Woradorn Wattanapanitch

Ruben Herrera

Serhii M Zhak

Jorg Kramer

Ji-Jon Sit

Scott K Arfin

Michael W Baker

Micah O'Halloran

J&ouml;rg Kramer

Carver A Mead

Michael Allen Faltys

Howard Edan Katz

Todd A Thorsen

Bhiksha Ramakrishnan

Jakub Tadeusz Kedzierski

Jeremy Bert Muldavin

Bent Schmidt-Nielsen

Christian T Wentz

Maziar Tavakoli Dastjerdi

Keng Hoong Wee

Michale Sean Fee

Bruno Guimaraes Do Valle

Douglas Jay Kozak Adams

We disclose transconductor-capacitor classical dynamical systems that emulate quantum dynamical systems and quantum-inspired systems by composing them with 1) a real capacitor, whose value exactly emulates the value of the quantum constant &#x210f; termed a Planck capacitor; 2) a 'quantum admittance' element, which has no classical equivalent, but which can be emulated by approximately 18 transistors of a coupled transconductor system; 3) an emulated 'quantum transadmittance element' that can couple emulated quantum admittances to each other; and 4) an emulated &#x2018;quantum transadmittance mixer element&#x2019; that can couple quantum admittances to each other under the control of an input. These four parts can be composed together to create arbitrary discrete-state, traveling-wave, spectral, or other quantum systems.

Emulation of quantum and quantum-inspired dynamical systems with classical transconductor-capacitor circuits

We disclose multi-electrode, energy-recycling, resonant stimulation circuits and strategies for energy-efficient blocking of action potentials in nerve. Our schemes increase the probability that most of the electrical stimulation is directed through the nerve rather than dissipated in ohmic extracellular solution alongside it via mechanical and electrical means; they use energy-recycling and resonant-amplification strategies that recycle and amplify capacitive nerve energy such that the nerve itself becomes an integral part of the circuit creating its oscillatory blocking waveform; they use traveling-wave strategies with distributed multi-electrode stimulation that alters the timing and intensity of stimulation at various points along the nerve to synchronize blocking stimulation with wave propagation in the nerve in an energy-efficient fashion. The schemes operate synergistically in a medical device to create advanced energy-efficient nerve-blocking stimulators whose operation may be altered and adapted in a feedback fashion to sensed action potentials in the nerve.

Multi-electrode, energy-recycling, resonant stimulation circuits and architectures for nerve blocking

A glucose fuel cell for reception into a given constrained volume of implantation in a vertebrate in which the glucose fuel cell has access to fluid containing glucose. The fuel cell includes an anode adapted to oxidize the glucose, a cathode adapted to reduce an oxidant, and a membrane disposed between the anode and the cathode and separating the anode from the cathode. At least one of the anode or cathode define a flexible sheet that is geometrically deformed to be receivable into the given constrained volume of implantation and increase volumetric power density. Related methods of making a glucose fuel cell of this type and implantable assemblies including the glucose fuel cell are also disclosed.

Flexible and implantable glucose fuel cell

We disclose transconductor-capacitor classical dynamical systems that emulate quantum dynamical systems and quantum-inspired systems by composing them with 1) a real capacitor, whose value exactly emulates the value of the quantum constant &#x210f; termed a Planck capacitor; 2) a 'quantum admittance' element, which has no classical equivalent, but which can be emulated by approximately 18 transistors of a coupled transconductor system; 3) an emulated 'quantum transadmittance element' that can couple emulated quantum admittances to each other; and 4) an emulated &#x2018;quantum transadmittance mixer element&#x2019; that can couple quantum admittances to each other under the control of an input. We describe how these parts may be composed together to emulate arbitrary two-state and discrete-state quantum or quantum-inspired systems including stochastics, state preparation, probability computations, state amplification, state attenuation, control, dynamics, and loss compensation.

Emulation of quantum and quantum-inspired discrete-state systems with classical transconductor-capacitor circuits

We disclose transconductor-capacitor classical dynamical systems that emulate quantum dynamical systems and quantum-inspired systems by composing them with 1) capacitors that represent &#x210f; termed Planck capacitors; 2) a 'quantum admittance' element, which can be emulated efficiently via coupled transconductors; 3) an emulated 'quantum transadmittance element' that can couple emulated quantum admittances to each other; and 4) an emulated &#x2018;quantum transadmittance mixer element&#x2019; that can couple emulated quantum admittances to each other under the control of an input. We describe a &#x2018;Quantum Cochlea&#x2019;, a biologically-inspired quantum traveling-wave system with coupled emulated quantum two-state systems for efficient spectrum analysis that uses all of these parts. We show how emulated quantum transdmittance mixers can help represent an exponential number of quantum superposition states in the spectral domain with linear classical resources, even if they are not all simultaneously accessible as in actual quantum systems, and how the quantum cochlea is a very efficient spectrum analyzer for non-destructive readout of these spectral-domain signals.

Quantum cochlea for efficient spectrum analysis

We disclose transconductor-capacitor classical dynamical systems that emulate quantum dynamical systems and quantum-inspired systems by composing them with 1) capacitors that represent &#x210f; termed Planck capacitors; 2) a 'quantum admittance' element, which can be emulated efficiently via coupled transconductors; 3) an emulated 'quantum transadmittance element' that can couple emulated quantum admittances to each other; and 4) an emulated &#x2018;quantum transadmittance mixer element&#x2019; that can couple emulated quantum admittances to each other under the control of an input. We describe a &#x2018;Quantum Cochlea&#x2019;, a biologically-inspired quantum traveling-wave system with coupled emulated quantum two-state systems for efficient spectrum analysis that uses all of these parts. We show how emulated quantum transdmittance mixers can help represent an exponential number of quantum superposition states in the spectral domain with linear classical resources, even if they are not all simultaneously accessible as in actual quantum systems.

Emulation of quantum and quantum-inspired spectrum analysis and superposition with classical transconductor-capacitor circuits

Described is a battery charger circuit for charging a battery. The battery charger circuit comprises a control element having a first input configured to receive an input from a reference source, a second input configured to receive an input from the battery and an output, said control element having an output current response characteristic which varies with respect to the battery input such that said control element implements a saturating function that causes the charging current of the battery to automatically transition between a constant current operating mode and a constant voltage operating mode or a constant voltage operating mode to a constant current operating mode.

Battery charger circuit and control schemes

A wearable system for monitoring a plurality of physiological signals is provided. The wearable system includes at least one sensor producing the physiological signals associated with a patient. A processor unit receives the physiological signals from the at least one sensor. The processor unit analyzes the physiological signals to determine the occurrence of a triggered event and produces at least one output signal identifying the triggered event. A transmission unit receives the at least one output signal and prepares for transmission of the at least one output signal.

Wearable system for monitoring physiological signals

A visual prostheses codes visual signals into electrical stimulation patterns for the creation of artificial vision. In some examples, coding of the information uses image compression techniques, temporal coding strategies, continuous interleaved sampling (CIS), and/or radar or sonar data. Examples of the approach are not limited to processing visual signals but can also be used to processing signals at other frequency ranges (e.g., infrared, radio frequency, and ultrasound), for instance, creating an augmented visual sensation.

Coding for visual prostheses

A system and method for stimulating an electrode is provided. The stimulator includes a sensor circuit configured to couple to the at least one electrode of a medical device to measure a power characteristic of the at least one electrode. The stimulator includes a control circuit configured to compare the measured power characteristic of the at least one electrode to a desired power characteristic, and, based upon a comparison of the measured power characteristic of the at least one electrode and the desired power characteristic, select between a first operational mode and a second operational mode of the electrode stimulator. The first operational mode includes delivering energy to the at least one electrode to stimulate the tissue and the second operational mode includes recovering energy from the at least one electrode.

Electrode stimulator with energy recycling and current regulation

A speech processing system includes a plurality of signal analyzers that extract salient signal attributes of an input voice signal. A difference module computes the differences in the salient signal attributes. One or more control modules control a plurality of speech generators using an output signal from the difference module in a speech-locked loop (SLL), the speech generators use the output signal to generate a voice signal.

Generating speech and voice from extracted signal attributes using a speech-locked loop (SLL)

A system and technique for providing to flexible, programmable frequency estimators and spectrum analyzers that can operate over extremely large bandwidths and yet provide high spectral resolution are described. The system and technique may include a cascaded super-heterodyne apparatus for estimating a frequency and a bandwidth of signals proximate in frequency to a desired signal, a tunable filter coupled to an input of a receiver, and a tuner which receives a signal from said cascaded super-heterodyne apparatus and tunes the filter to filter out unwanted signals from the receiver.

Architectures for universal or software radio

Described is an inductive compensating network coupled between the differential inputs of an operational amplifier circuit. The inductive compensating network includes at least one inductive element having an inductance value selected so as to provide proper compensation of the operational amplifier circuit. Also described is a feedback compensation scheme which adjusts loop characteristics by introducing zeros into a system with the addition of inductive or capacitive elements in a feedback path.

Inductive-element feedback-loop compensator

A microchip for performing a neural decoding algorithm is provided. The microchip is implemented using ultra-low power electronics. Also, the microchip includes a tunable neural decodable filter implemented using a plurality of amplifiers, a plurality of parameter learning filters, a multiplier, a gain and time-constant biasing circuits; and analog memory. The microchip, in a training mode, learns to perform an optimized translation of a raw neural signal received from a population of cortical neurons into motor control parameters. The optimization being based on a modified gradient descent least square algorithm wherein update for a given parameter in a filter is proportional to an averaged product of an error in the final output that the filter affects and a filtered version of its input. The microchip, in an operational mode, issues commands to controlling a device using learned mappings.

Low-power analog-circuit architecture for decoding neural signals

An ultra-low-power circuit for wireless neural recording and stimulation is provided. The circuit includes a neural amplifier with adaptive power biasing for use in multi-electrode arrays and a decoding and/or learning architecture. An impedance-modulation telemetry system provides low-power data telemetry. Also, the circuit includes a wireless link for efficient power transfer, and at least one circuit for wireless stimulation of neurons.

Growing community of inventors

Arlington, MA, United States of America

Rahul Sarpeshkar