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PROBING CONNECTIVITY UPDATE RULES IN BIOLOGICAL NEURAL NETWORKS IN VIVO -THE ABILITY TO LEARN FROM EXPERIENCE IS A DEFINING FEATURE OF BOTH BIOLOGICAL AND ARTIFICIAL INTELLIGENCE. WHILE TODAY'S ARTIFICIAL INTELLIGENCE SY

USAspending · observation · Publication date unknown

PROBING CONNECTIVITY UPDATE RULES IN BIOLOGICAL NEURAL NETWORKS IN VIVO -THE ABILITY TO LEARN FROM EXPERIENCE IS A DEFINING FEATURE OF BOTH BIOLOGICAL AND ARTIFICIAL INTELLIGENCE. WHILE TODAY'S ARTIFICIAL INTELLIGENCE SYSTEMS EXCEL AT MANY TASKS, THEY OFTEN REQUIRE MASSIVE AMOUNTS OF DATA, STRUGGLE TO CONTINUALLY LEARN NEW INFORMATION WITHOUT FORGETTING PREVIOUS KNOWLEDGE, AND RELY ON LEARNING RULES THAT DIFFER SUBSTANTIALLY FROM THOSE USED BY THE BRAIN. THIS PROJECT SEEKS TO DISCOVER THE BIOLOGICAL RULES THAT DETERMINE WHEN AND WHERE NEURAL CONNECTIONS ARE UPDATED IN THE LIVING BRAIN. BY REVE

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recordType

award

region

US

value

1800000

unit

USD