Neuronal sequences in population bursts encode information in human cortex

Area of Science:

• Neuroscience
• Cognitive Science

Background:

• Neural coding traditionally focuses on spike rates and latencies.
• Neuronal populations can exhibit synchronized bursts with specific temporal spiking orders.

Purpose of the Study:

• To investigate if the human brain uses neuronal sequences within population bursts for information representation.
• To determine if this sequence-based code complements rate- and latency-based codes.

Main Methods:

• Recorded single-unit spiking activity in the human anterior temporal lobe.
• Analyzed population bursting activity during a visual categorization task.

Main Results:

• Population spiking activity organized into bursts during the task.
• The temporal order of spiking within bursts varied uniquely across stimulus categories and exemplars.
• Sequence information was separable from and complementary to rate and latency information.

Conclusions:

• The human brain employs a complementary neural code based on neuronal sequences within population bursts.
• This sequence code efficiently represents information, adding to rate and latency codes.