Systems, methods, and media for decoding observed spike counts for spiking cells

A method of decoding observed spike counts for spiking cells, comprising:

• receiving a first set of observed spike counts for the spiking cells;
• determining a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identifying using a hardware processor a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• determining an action to be performed based on the first identified biological state;
• controlling a device based on the determined action to move relative to space around the subject;
• receiving a subsequent set of observed spike counts for the spiking cells, wherein the subsequent set of observed spike counts are observed at a different time than the first set of observed spike counts are observed;
• and
• identifying a subsequent identified biological state of the subject from the possible biological states based on the subsequent set of observed spike counts, the first set of observed spike counts, and the set of probabilities.

A method of decoding observed spike counts for spiking cells, comprising:

• receiving a first set of observed spike counts for the spiking cells;
• determining a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identifying using a hardware processor a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities, wherein the identifying of the first identified biological state of the subject comprises:
• for each of the possible biological states in each of the plurality of time sequences of biological states:
• retrieving or calculating a spiking cell probability for each of the spiking cells by matching the first set of observed spike counts to corresponding stored information for the possible biological state;
• and
• calculating a combined probability that the first set of spike counts corresponds to the possible biological state based on a combination of the spiking cell probabilities;
• determining an action to be performed based on the first identified biological state;
• and
• controlling a device based on the determined action to move relative to space around the subject.

A system for decoding observed spike counts for spiking cells, comprising:

• a memory;
• and
• a hardware processor coupled to the memory and configured to:
• receive a first set of observed spike counts for the spiking cells;
• determine a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identify a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• identify a second identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• determine a third identified biological state from at least the first identified biological state and the second identified biological state;
• determine an action to be performed based on the third identified biological state;
• and
• control a device based on the determined action to move relative to space around the subject.

A system for decoding observed spike counts for spiking cells, comprising:

• a memory;
• and
• a hardware processor coupled to the memory and configured to:
• receive a first set of observed spike counts for the spiking cells;
• determine a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identify a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• determine an action to be performed based on the first identified biological state;
• control a device based on the determined action to move relative to space around the subject;
• receive a subsequent set of observed spike counts for the spiking cells, wherein the subsequent set of observed spike counts are observed at a different time than the first set of observed spike counts are observed;
• and
• identify a subsequent identified biological state of the subject from the possible biological states based on the subsequent set of observed spike counts, the first set of observed spike counts, and the set of probabilities.

A system for decoding observed spike counts for spiking cells, comprising:

• a memory;
• and
• a hardware processor coupled to the memory and configured to:
• receive a first set of observed spike counts for the spiking cells;
• determine a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identify a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities, wherein the identifying of the first identified biological state of the subject comprises:
• for each of the possible biological states in each of the plurality of time sequences of biological states:
• retrieving or calculating a spiking cell probability for each of the spiking cells by matching the first set of observed spike counts to corresponding stored information for the possible biological state;
• and
• calculating a combined probability that the first set of spike counts corresponds to the possible biological state based on a combination of the spiking cell probabilities;
• determine an action to be performed based on the first identified biological state;
• and
• control a device based on the determined action to move relative to space around the subject.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method of decoding observed spike counts for spiking cells, the method comprising:

• receiving a first set of observed spike counts for the spiking cells;
• determining a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identifying a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• identifying a second identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• determining a third identified biological state from at least the first identified biological state and the second identified biological state;
• determining an action to be performed based on the third identified biological state;
• and
• controlling a device based on the determined action to move relative to space around the subject.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method of decoding observed spike counts for spiking cells, the method comprising:

• receiving a first set of observed spike counts for the spiking cells;
• determining a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identifying a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities;
• determining an action to be performed based on the first identified biological state;
• controlling a device based on the determined action to move relative to space around the subject;
• receiving a subsequent set of observed spike counts for the spiking cells, wherein the subsequent set of observed spike counts are observed at a different time than the first set of observed spike counts are observed;
• and
• identifying a subsequent identified biological state of the subject from the possible biological states based on the subsequent set of observed spike counts, the first set of observed spike counts, and the set of probabilities.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method of decoding observed spike counts for spiking cells, the method comprising:

• receiving a first set of observed spike counts for the spiking cells;
• determining a set of probabilities by:
• retrieving the set of probabilities from stored information;
• or
• calculating the set of probabilities based on the stored information,
• wherein the stored information regards possible biological states of a subject,
• wherein each of the possible biological states belongs to at least one of a plurality of time sequences of biological states,
• wherein each of the plurality of time sequences of biological states corresponds to a different possible action of the subject, and
• wherein each probability in the set of probabilities indicates a likelihood of observing a possible spike count for one of the plurality of spiking cells at one of the possible biological states of one of the plurality of time sequences of biological states;
• identifying a first identified biological state of the subject from the possible biological states based on the first set of observed spike counts and the set of probabilities, wherein the identifying of the first identified biological state of the subject comprises:
• for each of the possible biological states in each of the plurality of time sequences of biological states:
• retrieving or calculating a spiking cell probability for each of the spiking cells by matching the first set of observed spike counts to corresponding stored information for the possible biological state;
• and
• calculating a combined probability that the first set of spike counts corresponds to the possible biological state based on a combination of the spiking cell probabilities;
• determining an action to be performed based on the first identified biological state;
• and
• controlling a device based on the determined action to move relative to space around the subject.