Pregled bibliografske jedinice broj: 1227214
Gradient sensing in Bayesian chemotaxis
Gradient sensing in Bayesian chemotaxis // Europhysics letters, 138 (2022), 1; 12001-p1 doi:10.1209/0295-5075/ac6620 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1227214 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Gradient sensing in Bayesian chemotaxis
Autori
Auconi, Andrea ; Novak, Maja ; Friedrich, Benjamin M.
Izvornik
Europhysics letters (0295-5075) 138
(2022), 1;
12001-p1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
chemotaxis, translational diffusion, sequential Bayesian estimation, spatial comparison
Sažetak
Bayesian chemotaxis is an information-based target search problem inspired by biological chemotaxis. It is defined by a decision strategy coupled to the dynamic estimation of target position from detections of signaling molecules. We extend the case of a point-like agent previously introduced (Vergassola et al., Nature (2007)), which establishes concentration sensing as the dominant contribution to information processing, to the case of a circle-shaped agent of small finite size. We identify gradient sensing and a Laplacian correction to concentration sensing as the two leading-order expansion terms in the expected entropy variation. Numerically, we find that the impact of gradient sensing is most relevant because it provides direct directional information to break symmetry in likelihood distributions, which are generally circle shaped by concentration sensing.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
