5 Dec
2018
5 Dec
'18
11:53 a.m.
Tisztelt Kollégák,
A most következő hétfőn Wiktor Mlynarski (IST, Bécs) tart szemináriumot az MTA Wigner
Intézetben Josh McDermottal (MIT) végzett munkájáról. Részletek a levél alján találhatóak.
Minden érdeklődőt örömmel várunk.
Üdvözlettel,
Orbán Gergő
Dear Colleagues,
Next Monday, Wiktor Mlynarski (IST, Vienna) will have a seminar at the MTA Wigner
Institute on the work he did with Josh McDermott at MIT. See details below.
If you intend to attend but have a non-Hungarian passport, please let us know in advance
so that we can arrange for a smooth entry to the campus.
Best regards,
Gergo Orban
_____________________________
Hely-Location:
MTA Wigner FK, Komputációs Tudományok Osztálya
Szemináriumi szoba, 13-101
1121 Konkoly Thege M út 29-33
Időpont-Time:
december 10., hétfő, 13:30
Cím és absztrakt:
Inference and efficient coding in natural auditory scenes
Processing of natural stimuli in sensory systems has been traditionally studied within two
theoretical frameworks: probabilistic inference and efficient coding. Probabilistic
inference specifies optimal strategies for learning about relevant properties of the
environment from local and ambiguous sensory signals. Efficient coding provides a
normative approach to study encoding of natural stimuli in resource-constrained sensory
systems. By emphasizing different aspects of information processing they provide
complementary approaches to study sensory computations. Here, I will discuss applications
of these two perspectives to study the problem of auditory scene analysis in natural
environments. First, I will show that human auditory grouping can be understood as
probabilistic inference constrained by natural sound statistics. Second, I will present a
statistical model of natural sounds motivated by efficient coding principles. Through the
talk I will discuss similarities and differences between these two approaches and conclude
by proposing a unifying perspective on probabilistic inference and efficient coding in
sensory systems.