Page Content
neurolib [1]
neurolib is a computational framework for
whole-brain modeling written in Python.
more to: neurolib
[2]
Sleepy [3]
A python tool for slow wave detection and
labelling
more to: Sleepy
[4]
Hybrid Blind Beamforming for Spike Detection (HBBSD) [5]
Hybrid Blind Beamforming is an algorithm for spike detection
more to: Hybrid Blind
Beamforming for Spike Detection (HBBSD) [6]
Approximate Simultaneous Matrix Diagonalization (QDIAG) [7]
QDIAG is an algorithm for simultaneous matrix diagonalization
more to: Approximate
Simultaneous Matrix Diagonalization (QDIAG) [8]
Potential - Support Vector Machine [9]
P-SVM is a
software for support vector classification, regression and feature
extraction
more to: Potential - Support
Vector Machine [10]
Hyper-Ellipsoidal Conjugate Gradient Descent [11]
Hyper-Ellipsoidal Conjugate Gradient Descent is an algorithm, that
can be used for sparse optimization of second order kernel method
more to: Hyper-Ellipsoidal
Conjugate Gradient Descent [12]
Monte Carlo Maximum Entropy Test [13]
Monte Carlo
Maximum Entropy Test
more to: Monte Carlo Maximum
Entropy Test [14]
Detecting Connected Components and Communities in Hypergraphs
[15]
Detecting Connected Components and Communities in
Hypergraphs
more to: Detecting Connected
Components and Communities in Hypergraphs [16]
BOiS - Berlin Object in Scene Database [17]
Controlled
photographic images for visual search experiments with quantified
contextual priors
more to: BOiS - Berlin Object
in Scene Database [18]
------ Links: ------
[1]
https://www.ni.tu-berlin.de/menue/software_and_data
/neurolib/parameter/en/font5/maxhilfe/
[2]
https://www.ni.tu-berlin.de/menue/software_and_data
/neurolib/parameter/en/font5/maxhilfe/
[3]
https://www.ni.tu-berlin.de/menue/software_and_data
/sleepy/parameter/en/font5/maxhilfe/
[4]
https://www.ni.tu-berlin.de/menue/software_and_data
/sleepy/parameter/en/font5/maxhilfe/
[5]
https://www.ni.tu-berlin.de/menue/software_and_data
/hybrid_blind_beamforming_for_spike_detection_hbbsd/par
ameter/en/font5/maxhilfe/
[6]
https://www.ni.tu-berlin.de/menue/software_and_data
/hybrid_blind_beamforming_for_spike_detection_hbbsd/par
ameter/en/font5/maxhilfe/
[7]
https://www.ni.tu-berlin.de/menue/software_and_data
/approximate_simultaneous_matrix_diagonalization_qdiag/
parameter/en/font5/maxhilfe/
[8]
https://www.ni.tu-berlin.de/menue/software_and_data
/approximate_simultaneous_matrix_diagonalization_qdiag/
parameter/en/font5/maxhilfe/
[9]
https://www.ni.tu-berlin.de/menue/software_and_data
/potential_support_vector_machine/parameter/en/font5/ma
xhilfe/
[10]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/potential_support_vector_machine/parameter/en/font5/m
axhilfe/
[11]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/hyper_ellipsoidal_conjugate_gradient_descent/paramete
r/en/font5/maxhilfe/
[12]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/hyper_ellipsoidal_conjugate_gradient_descent/paramete
r/en/font5/maxhilfe/
[13]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/monte_carlo_maximum_entropy_test/parameter/en/font5/m
axhilfe/
[14]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/monte_carlo_maximum_entropy_test/parameter/en/font5/m
axhilfe/
[15]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/communities_in_hypergraphs/parameter/en/font5/maxhilf
e/
[16]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/communities_in_hypergraphs/parameter/en/font5/maxhilf
e/
[17]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/bois_berlin_object_in_scene_database/parameter/en/fon
t5/maxhilfe/
[18]
https://www.ni.tu-berlin.de/menue/software_and_dat
a/bois_berlin_object_in_scene_database/parameter/en/fon
t5/maxhilfe/
