Abstract
A complexity measure for threshold circuits, called the energy complexity, has been proposed to measure an amount of energy consumed during computation in the brain. Biological neurons need more energy to transmit a "spike" than not to transmit one, and hence the energy complexity of a threshold circuit is defined as the number of gates in the circuit that output "1" during computation. Since the firing activity of neurons in the brain is quite sparse, the following question arises: what Boolean functions can or cannot be computed by threshold circuits with small energy complexity. In the paper, we partially answer the question, that is, we show that there exists a tradeoff among three complexity measures of threshold circuits: the energy complexity, size, and depth. The tradeoff implies an exponential lower bound on the size of constant-depth threshold circuits with small energy complexity for a large class of Boolean functions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Twenty-Second Annual IEEE Conference on Computational Complexity, CCC 2007 |
| Pages | 169-178 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - Oct 2 2007 |
| Event | 22nd Annual IEEE Conference on Computational Complexity, CCC 2007 - San Diego, CA, United States Duration: Jun 13 2007 → Jun 16 2007 |
Publication series
| Name | Proceedings of the Annual IEEE Conference on Computational Complexity |
|---|---|
| ISSN (Print) | 1093-0159 |
Other
| Other | 22nd Annual IEEE Conference on Computational Complexity, CCC 2007 |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 6/13/07 → 6/16/07 |
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All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Computational Mathematics
Cite this
An exponential lower bound on the size of constant-depth threshold circuits with small energy complexity. / Uchizawa, Kei; Takimoto, Eiji.
Proceedings - Twenty-Second Annual IEEE Conference on Computational Complexity, CCC 2007. 2007. p. 169-178 4262761 (Proceedings of the Annual IEEE Conference on Computational Complexity).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An exponential lower bound on the size of constant-depth threshold circuits with small energy complexity
AU - Uchizawa, Kei
AU - Takimoto, Eiji
PY - 2007/10/2
Y1 - 2007/10/2
N2 - A complexity measure for threshold circuits, called the energy complexity, has been proposed to measure an amount of energy consumed during computation in the brain. Biological neurons need more energy to transmit a "spike" than not to transmit one, and hence the energy complexity of a threshold circuit is defined as the number of gates in the circuit that output "1" during computation. Since the firing activity of neurons in the brain is quite sparse, the following question arises: what Boolean functions can or cannot be computed by threshold circuits with small energy complexity. In the paper, we partially answer the question, that is, we show that there exists a tradeoff among three complexity measures of threshold circuits: the energy complexity, size, and depth. The tradeoff implies an exponential lower bound on the size of constant-depth threshold circuits with small energy complexity for a large class of Boolean functions.
AB - A complexity measure for threshold circuits, called the energy complexity, has been proposed to measure an amount of energy consumed during computation in the brain. Biological neurons need more energy to transmit a "spike" than not to transmit one, and hence the energy complexity of a threshold circuit is defined as the number of gates in the circuit that output "1" during computation. Since the firing activity of neurons in the brain is quite sparse, the following question arises: what Boolean functions can or cannot be computed by threshold circuits with small energy complexity. In the paper, we partially answer the question, that is, we show that there exists a tradeoff among three complexity measures of threshold circuits: the energy complexity, size, and depth. The tradeoff implies an exponential lower bound on the size of constant-depth threshold circuits with small energy complexity for a large class of Boolean functions.
UR - http://www.scopus.com/inward/record.url?scp=34748903048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34748903048&partnerID=8YFLogxK
U2 - 10.1109/CCC.2007.4
DO - 10.1109/CCC.2007.4
M3 - Conference contribution
AN - SCOPUS:34748903048
SN - 0769527809
SN - 9780769527802
T3 - Proceedings of the Annual IEEE Conference on Computational Complexity
SP - 169
EP - 178
BT - Proceedings - Twenty-Second Annual IEEE Conference on Computational Complexity, CCC 2007
ER -